In this notebook, some template code has already been provided for you, and you will need to implement additional functionality to successfully complete this project. You will not need to modify the included code beyond what is requested. Sections that begin with '(IMPLEMENTATION)' in the header indicate that the following block of code will require additional functionality which you must provide. Instructions will be provided for each section, and the specifics of the implementation are marked in the code block with a 'TODO' statement. Please be sure to read the instructions carefully!
Note: Once you have completed all of the code implementations, you need to finalize your work by exporting the iPython Notebook as an HTML document. Before exporting the notebook to html, all of the code cells need to have been run so that reviewers can see the final implementation and output. You can then export the notebook by using the menu above and navigating to \n", "File -> Download as -> HTML (.html). Include the finished document along with this notebook as your submission.
In addition to implementing code, there will be questions that you must answer which relate to the project and your implementation. Each section where you will answer a question is preceded by a 'Question X' header. Carefully read each question and provide thorough answers in the following text boxes that begin with 'Answer:'. Your project submission will be evaluated based on your answers to each of the questions and the implementation you provide.
Note: Code and Markdown cells can be executed using the Shift + Enter keyboard shortcut. Markdown cells can be edited by double-clicking the cell to enter edit mode.
The rubric contains optional "Stand Out Suggestions" for enhancing the project beyond the minimum requirements. If you decide to pursue the "Stand Out Suggestions", you should include the code in this IPython notebook.
In this notebook, you will make the first steps towards developing an algorithm that could be used as part of a mobile or web app. At the end of this project, your code will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling. The image below displays potential sample output of your finished project (... but we expect that each student's algorithm will behave differently!).

In this real-world setting, you will need to piece together a series of models to perform different tasks; for instance, the algorithm that detects humans in an image will be different from the CNN that infers dog breed. There are many points of possible failure, and no perfect algorithm exists. Your imperfect solution will nonetheless create a fun user experience!
We break the notebook into separate steps. Feel free to use the links below to navigate the notebook.
In the code cell below, we import a dataset of dog images. We populate a few variables through the use of the load_files function from the scikit-learn library:
train_files, valid_files, test_files - numpy arrays containing file paths to imagestrain_targets, valid_targets, test_targets - numpy arrays containing onehot-encoded classification labels dog_names - list of string-valued dog breed names for translating labelsfrom sklearn.datasets import load_files
from keras.utils import np_utils
import numpy as np
from glob import glob
# define function to load train, test, and validation datasets
def load_dataset(path):
data = load_files(path)
dog_files = np.array(data['filenames'])
dog_targets = np_utils.to_categorical(np.array(data['target']), 133)
return dog_files, dog_targets
# load train, test, and validation datasets
train_files, train_targets = load_dataset('dogImages/train')
valid_files, valid_targets = load_dataset('dogImages/valid')
test_files, test_targets = load_dataset('dogImages/test')
# load list of dog names
dog_names = [item[20:-1] for item in sorted(glob("dogImages/train/*/"))]
# print statistics about the dataset
print('There are %d total dog categories.' % len(dog_names))
print('There are %s total dog images.\n' % len(np.hstack([train_files, valid_files, test_files])))
print('There are %d training dog images.' % len(train_files))
print('There are %d validation dog images.' % len(valid_files))
print('There are %d test dog images.'% len(test_files))
Using TensorFlow backend.
There are 133 total dog categories. There are 8351 total dog images. There are 6680 training dog images. There are 835 validation dog images. There are 836 test dog images.
In the code cell below, we import a dataset of human images, where the file paths are stored in the numpy array human_files.
import random
random.seed(8675309)
# load filenames in shuffled human dataset
human_files = np.array(glob("lfw/*/*"))
random.shuffle(human_files)
# print statistics about the dataset
print('There are %d total human images.' % len(human_files))
There are 13233 total human images.
We use OpenCV's implementation of Haar feature-based cascade classifiers to detect human faces in images. OpenCV provides many pre-trained face detectors, stored as XML files on github. We have downloaded one of these detectors and stored it in the haarcascades directory.
In the next code cell, we demonstrate how to use this detector to find human faces in a sample image.
import cv2
import matplotlib.pyplot as plt
%matplotlib inline
# extract pre-trained face detector
face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_alt.xml')
# load color (BGR) image
img = cv2.imread(human_files[3])
# convert BGR image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# find faces in image
faces = face_cascade.detectMultiScale(gray)
# print number of faces detected in the image
print('Number of faces detected:', len(faces))
# get bounding box for each detected face
for (x,y,w,h) in faces:
# add bounding box to color image
cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
# convert BGR image to RGB for plotting
cv_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# display the image, along with bounding box
plt.imshow(cv_rgb)
plt.show()
Number of faces detected: 1
Before using any of the face detectors, it is standard procedure to convert the images to grayscale. The detectMultiScale function executes the classifier stored in face_cascade and takes the grayscale image as a parameter.
In the above code, faces is a numpy array of detected faces, where each row corresponds to a detected face. Each detected face is a 1D array with four entries that specifies the bounding box of the detected face. The first two entries in the array (extracted in the above code as x and y) specify the horizontal and vertical positions of the top left corner of the bounding box. The last two entries in the array (extracted here as w and h) specify the width and height of the box.
We can use this procedure to write a function that returns True if a human face is detected in an image and False otherwise. This function, aptly named face_detector, takes a string-valued file path to an image as input and appears in the code block below.
# returns "True" if face is detected in image stored at img_path
def face_detector(img_path):
img = cv2.imread(img_path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray)
return len(faces) > 0
Question 1: Use the code cell below to test the performance of the face_detector function.
human_files have a detected human face? dog_files have a detected human face? Ideally, we would like 100% of human images with a detected face and 0% of dog images with a detected face. You will see that our algorithm falls short of this goal, but still gives acceptable performance. We extract the file paths for the first 100 images from each of the datasets and store them in the numpy arrays human_files_short and dog_files_short.
Answer:
- Number of human faces detected 99 out of 100 faces. 99.00% accuracy
- Number of faces in dog images detected 11 out of 100 faces. 11.00% accuracy
human_files_short = human_files[:100]
dog_files_short = train_files[:100]
# Do NOT modify the code above this line.
## TODO: Test the performance of the face_detector algorithm
## on the images in human_files_short and dog_files_short.
human_faces = 0
dog_faces = 0
for human in human_files_short:
human_faces += face_detector(human)
for dog in dog_files_short:
dog_faces += face_detector(dog)
print('Number of human faces detected {} out of {} faces. {:.2%} accuracy'\
.format(human_faces, len(human_files_short),(human_faces/len(human_files_short) )))
print('Number of faces in dog images detected {} out of {} faces. {:.2%} accuracy'\
.format(dog_faces, len(dog_files_short),(dog_faces/len(dog_files_short) )))
Number of human faces detected 99 out of 100 faces. 99.00% accuracy Number of faces in dog images detected 11 out of 100 faces. 11.00% accuracy
Question 2: This algorithmic choice necessitates that we communicate to the user that we accept human images only when they provide a clear view of a face (otherwise, we risk having unneccessarily frustrated users!). In your opinion, is this a reasonable expectation to pose on the user? If not, can you think of a way to detect humans in images that does not necessitate an image with a clearly presented face?
Answer: I would think that training a network to recognize human figures/bodies would be a good first step. It seems that anything that we humans can do with our eyes, a CNN could approximate. It wouldn't be perfect.
We suggest the face detector from OpenCV as a potential way to detect human images in your algorithm, but you are free to explore other approaches, especially approaches that make use of deep learning :). Please use the code cell below to design and test your own face detection algorithm. If you decide to pursue this optional task, report performance on each of the datasets.
## (Optional) TODO: Report the performance of another
## face detection algorithm on the LFW dataset
### Feel free to use as many code cells as needed.
I built a CNN and trained it with the human faces. The performance was strange. At first it did pretty well with around 80% accuracy, but as I added more images, the accuracy went way down. The experiment can be found at: Face Recognition Experiment. I did notice that there were only a handful of images per dog breed and yet the network did fairly well. I had read that the more data, the better, but that is not what I found.
In this section, we use a pre-trained ResNet-50 model to detect dogs in images. Our first line of code downloads the ResNet-50 model, along with weights that have been trained on ImageNet, a very large, very popular dataset used for image classification and other vision tasks. ImageNet contains over 10 million URLs, each linking to an image containing an object from one of 1000 categories. Given an image, this pre-trained ResNet-50 model returns a prediction (derived from the available categories in ImageNet) for the object that is contained in the image.
from keras.applications.resnet50 import ResNet50
# define ResNet50 model
ResNet50_model = ResNet50(weights='imagenet')
When using TensorFlow as backend, Keras CNNs require a 4D array (which we'll also refer to as a 4D tensor) as input, with shape
$$ (\text{nb_samples}, \text{rows}, \text{columns}, \text{channels}), $$where nb_samples corresponds to the total number of images (or samples), and rows, columns, and channels correspond to the number of rows, columns, and channels for each image, respectively.
The path_to_tensor function below takes a string-valued file path to a color image as input and returns a 4D tensor suitable for supplying to a Keras CNN. The function first loads the image and resizes it to a square image that is $224 \times 224$ pixels. Next, the image is converted to an array, which is then resized to a 4D tensor. In this case, since we are working with color images, each image has three channels. Likewise, since we are processing a single image (or sample), the returned tensor will always have shape
The paths_to_tensor function takes a numpy array of string-valued image paths as input and returns a 4D tensor with shape
Here, nb_samples is the number of samples, or number of images, in the supplied array of image paths. It is best to think of nb_samples as the number of 3D tensors (where each 3D tensor corresponds to a different image) in your dataset!
from keras.preprocessing import image
from tqdm import tqdm
def path_to_tensor(img_path):
# loads RGB image as PIL.Image.Image type
img = image.load_img(img_path, target_size=(224, 224))
# convert PIL.Image.Image type to 3D tensor with shape (224, 224, 3)
x = image.img_to_array(img)
# convert 3D tensor to 4D tensor with shape (1, 224, 224, 3) and return 4D tensor
return np.expand_dims(x, axis=0)
def paths_to_tensor(img_paths):
list_of_tensors = [path_to_tensor(img_path) for img_path in tqdm(img_paths)]
return np.vstack(list_of_tensors)
Getting the 4D tensor ready for ResNet-50, and for any other pre-trained model in Keras, requires some additional processing. First, the RGB image is converted to BGR by reordering the channels. All pre-trained models have the additional normalization step that the mean pixel (expressed in RGB as $[103.939, 116.779, 123.68]$ and calculated from all pixels in all images in ImageNet) must be subtracted from every pixel in each image. This is implemented in the imported function preprocess_input. If you're curious, you can check the code for preprocess_input here.
Now that we have a way to format our image for supplying to ResNet-50, we are now ready to use the model to extract the predictions. This is accomplished with the predict method, which returns an array whose $i$-th entry is the model's predicted probability that the image belongs to the $i$-th ImageNet category. This is implemented in the ResNet50_predict_labels function below.
By taking the argmax of the predicted probability vector, we obtain an integer corresponding to the model's predicted object class, which we can identify with an object category through the use of this dictionary.
from keras.applications.resnet50 import preprocess_input, decode_predictions
def ResNet50_predict_labels(img_path):
# returns prediction vector for image located at img_path
img = preprocess_input(path_to_tensor(img_path))
return np.argmax(ResNet50_model.predict(img))
While looking at the dictionary, you will notice that the categories corresponding to dogs appear in an uninterrupted sequence and correspond to dictionary keys 151-268, inclusive, to include all categories from 'Chihuahua' to 'Mexican hairless'. Thus, in order to check to see if an image is predicted to contain a dog by the pre-trained ResNet-50 model, we need only check if the ResNet50_predict_labels function above returns a value between 151 and 268 (inclusive).
We use these ideas to complete the dog_detector function below, which returns True if a dog is detected in an image (and False if not).
### returns "True" if a dog is detected in the image stored at img_path
def dog_detector(img_path):
prediction = ResNet50_predict_labels(img_path)
return ((prediction <= 268) & (prediction >= 151))
Question 3: Use the code cell below to test the performance of your dog_detector function.
human_files_short have a detected dog? dog_files_short have a detected dog?Answer: The detection of human faces in the dog images is to be expected since a few of them do contain both dog and human faces. For example: dogImages\train\049.Chinese_crested\Chinese_crested_03466.jpg
### TODO: Test the performance of the dog_detector function
### on the images in human_files_short and dog_files_short.
human_dogs = 0
dog_dogs = 0
for human in human_files_short:
human_dogs += dog_detector(human)
for dog in dog_files_short:
dog_dogs += dog_detector(dog)
print('Number of dogs in human files detected {} out of {} faces. {:.2%}'\
.format(human_dogs, len(human_files_short),(human_dogs/len(human_files_short) )))
print('Number of dogs in dog files detected {} out of {} faces. {:.2%} accuracy'\
.format(dog_dogs, len(dog_files_short),(dog_dogs/len(dog_files_short) )))
Number of dogs in human files detected 1 out of 100 faces. 1.00% Number of dogs in dog files detected 100 out of 100 faces. 100.00% accuracy
img = cv2.imread(dog)
# convert BGR image to RGB for plotting
cv_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# display the image
plt.imshow(cv_rgb)
plt.show()
Now that we have functions for detecting humans and dogs in images, we need a way to predict breed from images. In this step, you will create a CNN that classifies dog breeds. You must create your CNN from scratch (so, you can't use transfer learning yet!), and you must attain a test accuracy of at least 1%. In Step 5 of this notebook, you will have the opportunity to use transfer learning to create a CNN that attains greatly improved accuracy.
Be careful with adding too many trainable layers! More parameters means longer training, which means you are more likely to need a GPU to accelerate the training process. Thankfully, Keras provides a handy estimate of the time that each epoch is likely to take; you can extrapolate this estimate to figure out how long it will take for your algorithm to train.
We mention that the task of assigning breed to dogs from images is considered exceptionally challenging. To see why, consider that even a human would have great difficulty in distinguishing between a Brittany and a Welsh Springer Spaniel.
| Brittany | Welsh Springer Spaniel |
|---|---|
![]() |
![]() |
It is not difficult to find other dog breed pairs with minimal inter-class variation (for instance, Curly-Coated Retrievers and American Water Spaniels).
| Curly-Coated Retriever | American Water Spaniel |
|---|---|
![]() |
![]() |
Likewise, recall that labradors come in yellow, chocolate, and black. Your vision-based algorithm will have to conquer this high intra-class variation to determine how to classify all of these different shades as the same breed.
| Yellow Labrador | Chocolate Labrador | Black Labrador |
|---|---|---|
![]() |
![]() |
![]() |
We also mention that random chance presents an exceptionally low bar: setting aside the fact that the classes are slightly imabalanced, a random guess will provide a correct answer roughly 1 in 133 times, which corresponds to an accuracy of less than 1%.
Remember that the practice is far ahead of the theory in deep learning. Experiment with many different architectures, and trust your intuition. And, of course, have fun!
We rescale the images by dividing every pixel in every image by 255.
from PIL import ImageFile
ImageFile.LOAD_TRUNCATED_IMAGES = True
# pre-process the data for Keras
train_tensors = paths_to_tensor(train_files).astype('float32')/255
valid_tensors = paths_to_tensor(valid_files).astype('float32')/255
test_tensors = paths_to_tensor(test_files).astype('float32')/255
100%|█████████████████████████████████████████████████████████████████████████████| 6680/6680 [00:57<00:00, 115.45it/s] 100%|███████████████████████████████████████████████████████████████████████████████| 835/835 [00:06<00:00, 120.74it/s] 100%|███████████████████████████████████████████████████████████████████████████████| 836/836 [00:06<00:00, 125.79it/s]
Create a CNN to classify dog breed. At the end of your code cell block, summarize the layers of your model by executing the line:
model.summary()
We have imported some Python modules to get you started, but feel free to import as many modules as you need. If you end up getting stuck, here's a hint that specifies a model that trains relatively fast on CPU and attains >1% test accuracy in 5 epochs:

Question 4: Outline the steps you took to get to your final CNN architecture and your reasoning at each step. If you chose to use the hinted architecture above, describe why you think that CNN architecture should work well for the image classification task.
Answer: I chose to follow the hinted architecture above since it is a simplified version of the VGG model, which has a proven record of image classification. The initial model got around 10%. I then expanded on the model by adding additional sets of conv2D layers and an extra Dense layer. That doubled the accuracy and was the best I could get.
from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D
from keras.layers import Dropout, Flatten, Dense, Activation
from keras.models import Sequential
from keras import optimizers
model = Sequential()
### TODO: Define your architecture.
model.add(Conv2D(32, (3, 3), input_shape=(224, 224,3)))
model.add(Activation('relu'))
model.add(Conv2D(32, (3, 3)))
model.add(Activation('relu'))
model.add(Conv2D(32, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
#model.add(Conv2D(64, (3, 3)))
#model.add(Activation('relu'))
model.add(Conv2D(64, (3, 3)))
model.add(Activation('relu'))
model.add(Conv2D(64, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Conv2D(128, (3, 3)))
model.add(Activation('relu'))
model.add(Conv2D(128, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(GlobalAveragePooling2D())
model.add(Dense(266))
model.add(Activation('relu'))
model.add(Dropout(0.5))
model.add(Dense(133))
model.add(Activation('softmax'))
model.summary()
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= conv2d_1 (Conv2D) (None, 222, 222, 32) 896 _________________________________________________________________ activation_50 (Activation) (None, 222, 222, 32) 0 _________________________________________________________________ conv2d_2 (Conv2D) (None, 220, 220, 32) 9248 _________________________________________________________________ activation_51 (Activation) (None, 220, 220, 32) 0 _________________________________________________________________ conv2d_3 (Conv2D) (None, 218, 218, 32) 9248 _________________________________________________________________ activation_52 (Activation) (None, 218, 218, 32) 0 _________________________________________________________________ max_pooling2d_2 (MaxPooling2 (None, 109, 109, 32) 0 _________________________________________________________________ conv2d_4 (Conv2D) (None, 107, 107, 64) 18496 _________________________________________________________________ activation_53 (Activation) (None, 107, 107, 64) 0 _________________________________________________________________ conv2d_5 (Conv2D) (None, 105, 105, 64) 36928 _________________________________________________________________ activation_54 (Activation) (None, 105, 105, 64) 0 _________________________________________________________________ max_pooling2d_3 (MaxPooling2 (None, 52, 52, 64) 0 _________________________________________________________________ conv2d_6 (Conv2D) (None, 50, 50, 128) 73856 _________________________________________________________________ activation_55 (Activation) (None, 50, 50, 128) 0 _________________________________________________________________ conv2d_7 (Conv2D) (None, 48, 48, 128) 147584 _________________________________________________________________ activation_56 (Activation) (None, 48, 48, 128) 0 _________________________________________________________________ max_pooling2d_4 (MaxPooling2 (None, 24, 24, 128) 0 _________________________________________________________________ global_average_pooling2d_1 ( (None, 128) 0 _________________________________________________________________ dense_1 (Dense) (None, 266) 34314 _________________________________________________________________ activation_57 (Activation) (None, 266) 0 _________________________________________________________________ dropout_1 (Dropout) (None, 266) 0 _________________________________________________________________ dense_2 (Dense) (None, 133) 35511 _________________________________________________________________ activation_58 (Activation) (None, 133) 0 ================================================================= Total params: 366,081.0 Trainable params: 366,081.0 Non-trainable params: 0.0 _________________________________________________________________
print(train_targets.shape)
(6680, 133)
model.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy'])
Train your model in the code cell below. Use model checkpointing to save the model that attains the best validation loss.
You are welcome to augment the training data, but this is not a requirement.
from keras.callbacks import ModelCheckpoint
### TODO: specify the number of epochs that you would like to use to train the model.
epochs = 40
### Do NOT modify the code below this line.
checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.from_scratch.hdf5',
verbose=1, save_best_only=True)
model.fit(train_tensors, train_targets,
validation_data=(valid_tensors, valid_targets),
epochs=epochs, batch_size=20, callbacks=[checkpointer], verbose=1)
Train on 6680 samples, validate on 835 samples Epoch 1/40 6660/6680 [============================>.] - ETA: 538s - loss: 4.8901 - acc: 0.0000e+00 - ETA: 292s - loss: 4.9035 - acc: 0.0000e+00 - ETA: 210s - loss: 4.9037 - acc: 0.0000e+00 - ETA: 168s - loss: 4.9000 - acc: 0.0125 - ETA: 144s - loss: 4.8979 - acc: 0.0100 - ETA: 127s - loss: 4.8964 - acc: 0.0083 - ETA: 115s - loss: 4.8958 - acc: 0.0071 - ETA: 107s - loss: 4.8949 - acc: 0.0125 - ETA: 100s - loss: 4.8947 - acc: 0.0111 - ETA: 94s - loss: 4.8936 - acc: 0.0100 - ETA: 89s - loss: 4.8925 - acc: 0.0091 - ETA: 85s - loss: 4.8917 - acc: 0.0083 - ETA: 82s - loss: 4.8928 - acc: 0.0077 - ETA: 79s - loss: 4.8927 - acc: 0.0107 - ETA: 77s - loss: 4.8928 - acc: 0.0100 - ETA: 75s - loss: 4.8926 - acc: 0.0094 - ETA: 73s - loss: 4.8924 - acc: 0.0088 - ETA: 71s - loss: 4.8927 - acc: 0.0083 - ETA: 69s - loss: 4.8923 - acc: 0.0079 - ETA: 68s - loss: 4.8922 - acc: 0.0075 - ETA: 67s - loss: 4.8917 - acc: 0.0095 - ETA: 65s - loss: 4.8914 - acc: 0.0091 - ETA: 64s - loss: 4.8918 - acc: 0.0087 - ETA: 63s - loss: 4.8917 - acc: 0.0083 - ETA: 62s - loss: 4.8916 - acc: 0.0080 - ETA: 61s - loss: 4.8917 - acc: 0.0077 - ETA: 60s - loss: 4.8913 - acc: 0.0074 - ETA: 60s - loss: 4.8910 - acc: 0.0071 - ETA: 59s - loss: 4.8910 - acc: 0.0069 - ETA: 58s - loss: 4.8910 - acc: 0.0083 - ETA: 58s - loss: 4.8911 - acc: 0.0081 - ETA: 57s - loss: 4.8909 - acc: 0.0078 - ETA: 56s - loss: 4.8905 - acc: 0.0091 - ETA: 56s - loss: 4.8942 - acc: 0.0088 - ETA: 55s - loss: 4.8942 - acc: 0.0086 - ETA: 55s - loss: 4.8940 - acc: 0.0097 - ETA: 54s - loss: 4.8934 - acc: 0.0122 - ETA: 54s - loss: 4.8933 - acc: 0.0118 - ETA: 53s - loss: 4.8934 - acc: 0.0115 - ETA: 53s - loss: 4.8932 - acc: 0.0113 - ETA: 52s - loss: 4.8930 - acc: 0.0110 - ETA: 52s - loss: 4.8932 - acc: 0.0107 - ETA: 51s - loss: 4.8934 - acc: 0.0105 - ETA: 51s - loss: 4.8931 - acc: 0.0114 - ETA: 51s - loss: 4.8929 - acc: 0.0111 - ETA: 50s - loss: 4.8927 - acc: 0.0109 - ETA: 50s - loss: 4.8930 - acc: 0.0117 - ETA: 49s - loss: 4.8930 - acc: 0.0125 - ETA: 49s - loss: 4.8930 - acc: 0.0122 - ETA: 49s - loss: 4.8927 - acc: 0.0120 - ETA: 48s - loss: 4.8928 - acc: 0.0118 - ETA: 48s - loss: 4.8927 - acc: 0.0115 - ETA: 48s - loss: 4.8926 - acc: 0.0113 - ETA: 47s - loss: 4.8925 - acc: 0.0120 - ETA: 47s - loss: 4.8923 - acc: 0.0118 - ETA: 47s - loss: 4.8923 - acc: 0.0116 - ETA: 46s - loss: 4.8922 - acc: 0.0123 - ETA: 46s - loss: 4.8921 - acc: 0.0121 - ETA: 46s - loss: 4.8922 - acc: 0.0119 - ETA: 46s - loss: 4.8923 - acc: 0.0117 - ETA: 45s - loss: 4.8921 - acc: 0.0115 - ETA: 45s - loss: 4.8921 - acc: 0.0113 - ETA: 45s - loss: 4.8922 - acc: 0.0111 - ETA: 44s - loss: 4.8922 - acc: 0.0109 - ETA: 44s - loss: 4.8920 - acc: 0.0108 - ETA: 44s - loss: 4.8918 - acc: 0.0106 - ETA: 44s - loss: 4.8920 - acc: 0.0104 - ETA: 43s - loss: 4.8921 - acc: 0.0103 - ETA: 43s - loss: 4.8921 - acc: 0.0101 - ETA: 43s - loss: 4.8921 - acc: 0.0100 - ETA: 43s - loss: 4.8920 - acc: 0.0099 - ETA: 42s - loss: 4.8920 - acc: 0.0097 - ETA: 42s - loss: 4.8919 - acc: 0.0103 - ETA: 42s - loss: 4.8918 - acc: 0.0108 - ETA: 42s - loss: 4.8919 - acc: 0.0107 - ETA: 42s - loss: 4.8917 - acc: 0.0105 - ETA: 41s - loss: 4.8919 - acc: 0.0104 - ETA: 41s - loss: 4.8918 - acc: 0.0103 - ETA: 41s - loss: 4.8917 - acc: 0.0101 - ETA: 41s - loss: 4.8917 - acc: 0.0100 - ETA: 40s - loss: 4.8913 - acc: 0.0105 - ETA: 40s - loss: 4.8912 - acc: 0.0104 - ETA: 40s - loss: 4.8913 - acc: 0.0102 - ETA: 40s - loss: 4.8913 - acc: 0.0101 - ETA: 40s - loss: 4.8913 - acc: 0.0100 - ETA: 39s - loss: 4.8912 - acc: 0.0099 - ETA: 39s - loss: 4.8910 - acc: 0.0098 - ETA: 39s - loss: 4.8912 - acc: 0.0097 - ETA: 39s - loss: 4.8911 - acc: 0.0096 - ETA: 38s - loss: 4.8911 - acc: 0.0094 - ETA: 38s - loss: 4.8911 - acc: 0.0093 - ETA: 38s - loss: 4.8913 - acc: 0.0092 - ETA: 38s - loss: 4.8912 - acc: 0.0091 - ETA: 38s - loss: 4.8912 - acc: 0.0090 - ETA: 37s - loss: 4.8910 - acc: 0.0089 - ETA: 37s - loss: 4.8912 - acc: 0.0089 - ETA: 37s - loss: 4.8912 - acc: 0.0098 - ETA: 37s - loss: 4.8911 - acc: 0.0097 - ETA: 37s - loss: 4.8911 - acc: 0.0096 - ETA: 37s - loss: 4.8908 - acc: 0.0100 - ETA: 36s - loss: 4.8907 - acc: 0.0104 - ETA: 36s - loss: 4.8906 - acc: 0.0103 - ETA: 36s - loss: 4.8906 - acc: 0.0102 - ETA: 36s - loss: 4.8904 - acc: 0.0101 - ETA: 36s - loss: 4.8904 - acc: 0.0100 - ETA: 35s - loss: 4.8901 - acc: 0.0099 - ETA: 35s - loss: 4.8903 - acc: 0.0098 - ETA: 35s - loss: 4.8900 - acc: 0.0097 - ETA: 35s - loss: 4.8902 - acc: 0.0096 - ETA: 35s - loss: 4.8902 - acc: 0.0100 - ETA: 34s - loss: 4.8903 - acc: 0.0099 - ETA: 34s - loss: 4.8903 - acc: 0.0098 - ETA: 34s - loss: 4.8903 - acc: 0.0097 - ETA: 34s - loss: 4.8902 - acc: 0.0096 - ETA: 34s - loss: 4.8901 - acc: 0.0100 - ETA: 34s - loss: 4.8900 - acc: 0.0099 - ETA: 33s - loss: 4.8898 - acc: 0.0098 - ETA: 33s - loss: 4.8896 - acc: 0.0097 - ETA: 33s - loss: 4.8894 - acc: 0.0097 - ETA: 33s - loss: 4.8892 - acc: 0.0096 - ETA: 33s - loss: 4.8893 - acc: 0.0099 - ETA: 32s - loss: 4.8895 - acc: 0.0098 - ETA: 32s - loss: 4.8895 - acc: 0.0098 - ETA: 32s - loss: 4.8893 - acc: 0.0101 - ETA: 32s - loss: 4.8895 - acc: 0.0100 - ETA: 32s - loss: 4.8893 - acc: 0.0099 - ETA: 32s - loss: 4.8892 - acc: 0.0098 - ETA: 31s - loss: 4.8890 - acc: 0.0098 - ETA: 31s - loss: 4.8895 - acc: 0.0097 - ETA: 31s - loss: 4.8897 - acc: 0.0096 - ETA: 31s - loss: 4.8897 - acc: 0.0095 - ETA: 31s - loss: 4.8897 - acc: 0.0095 - ETA: 31s - loss: 4.8898 - acc: 0.0094 - ETA: 30s - loss: 4.8896 - acc: 0.0097 - ETA: 30s - loss: 4.8897 - acc: 0.0096 - ETA: 30s - loss: 4.8895 - acc: 0.0096 - ETA: 30s - loss: 4.8894 - acc: 0.0095 - ETA: 30s - loss: 4.8895 - acc: 0.0094 - ETA: 30s - loss: 4.8894 - acc: 0.0097 - ETA: 29s - loss: 4.8893 - acc: 0.0096 - ETA: 29s - loss: 4.8892 - acc: 0.0099 - ETA: 29s - loss: 4.8892 - acc: 0.0102 - ETA: 29s - loss: 4.8892 - acc: 0.0101 - ETA: 29s - loss: 4.8891 - acc: 0.0101 - ETA: 29s - loss: 4.8891 - acc: 0.0100 - ETA: 28s - loss: 4.8890 - acc: 0.0099 - ETA: 28s - loss: 4.8890 - acc: 0.0099 - ETA: 28s - loss: 4.8890 - acc: 0.0098 - ETA: 28s - loss: 4.8888 - acc: 0.0097 - ETA: 28s - loss: 4.8888 - acc: 0.0097 - ETA: 28s - loss: 4.8887 - acc: 0.0096 - ETA: 27s - loss: 4.8884 - acc: 0.0099 - ETA: 27s - loss: 4.8882 - acc: 0.0101 - ETA: 27s - loss: 4.8887 - acc: 0.0101 - ETA: 27s - loss: 4.8887 - acc: 0.0100 - ETA: 27s - loss: 4.8888 - acc: 0.0099 - ETA: 27s - loss: 4.8888 - acc: 0.0099 - ETA: 26s - loss: 4.8888 - acc: 0.0098 - ETA: 26s - loss: 4.8888 - acc: 0.0097 - ETA: 26s - loss: 4.8886 - acc: 0.0097 - ETA: 26s - loss: 4.8887 - acc: 0.0096 - ETA: 26s - loss: 4.8888 - acc: 0.0096 - ETA: 26s - loss: 4.8886 - acc: 0.0095 - ETA: 25s - loss: 4.8886 - acc: 0.0095 - ETA: 25s - loss: 4.8886 - acc: 0.0094 - ETA: 25s - loss: 4.8888 - acc: 0.0093 - ETA: 25s - loss: 4.8886 - acc: 0.0096 - ETA: 25s - loss: 4.8885 - acc: 0.0095 - ETA: 25s - loss: 4.8887 - acc: 0.0095 - ETA: 24s - loss: 4.8887 - acc: 0.0097 - ETA: 24s - loss: 4.8885 - acc: 0.0096 - ETA: 24s - loss: 4.8884 - acc: 0.0096 - ETA: 24s - loss: 4.8882 - acc: 0.0095 - ETA: 24s - loss: 4.8880 - acc: 0.0095 - ETA: 24s - loss: 4.8879 - acc: 0.0097 - ETA: 23s - loss: 4.8877 - acc: 0.0097 - ETA: 23s - loss: 4.8878 - acc: 0.0096 - ETA: 23s - loss: 4.8877 - acc: 0.0096 - ETA: 23s - loss: 4.8880 - acc: 0.0095 - ETA: 23s - loss: 4.8880 - acc: 0.0094 - ETA: 23s - loss: 4.8879 - acc: 0.0094 - ETA: 23s - loss: 4.8879 - acc: 0.0093 - ETA: 22s - loss: 4.8877 - acc: 0.0098 - ETA: 22s - loss: 4.8878 - acc: 0.0101 - ETA: 22s - loss: 4.8879 - acc: 0.0100 - ETA: 22s - loss: 4.8879 - acc: 0.0102 - ETA: 22s - loss: 4.8879 - acc: 0.0102 - ETA: 22s - loss: 4.8879 - acc: 0.0101 - ETA: 21s - loss: 4.8876 - acc: 0.0101 - ETA: 21s - loss: 4.8878 - acc: 0.0100 - ETA: 21s - loss: 4.8879 - acc: 0.0099 - ETA: 21s - loss: 4.8876 - acc: 0.0102 - ETA: 21s - loss: 4.8875 - acc: 0.0104 - ETA: 21s - loss: 4.8874 - acc: 0.0103 - ETA: 21s - loss: 4.8872 - acc: 0.0103 - ETA: 20s - loss: 4.8871 - acc: 0.0102 - ETA: 20s - loss: 4.8872 - acc: 0.0104 - ETA: 20s - loss: 4.8870 - acc: 0.0104 - ETA: 20s - loss: 4.8873 - acc: 0.0103 - ETA: 20s - loss: 4.8873 - acc: 0.0103 - ETA: 20s - loss: 4.8873 - acc: 0.0102 - ETA: 19s - loss: 4.8874 - acc: 0.0101 - ETA: 19s - loss: 4.8874 - acc: 0.0103 - ETA: 19s - loss: 4.8875 - acc: 0.0103 - ETA: 19s - loss: 4.8875 - acc: 0.0102 - ETA: 19s - loss: 4.8874 - acc: 0.0104 - ETA: 19s - loss: 4.8874 - acc: 0.0104 - ETA: 18s - loss: 4.8875 - acc: 0.0103 - ETA: 18s - loss: 4.8875 - acc: 0.0103 - ETA: 18s - loss: 4.8877 - acc: 0.0105 - ETA: 18s - loss: 4.8878 - acc: 0.0104 - ETA: 18s - loss: 4.8877 - acc: 0.0104 - ETA: 18s - loss: 4.8876 - acc: 0.0103 - ETA: 18s - loss: 4.8876 - acc: 0.0103 - ETA: 17s - loss: 4.8876 - acc: 0.0102 - ETA: 17s - loss: 4.8876 - acc: 0.0102 - ETA: 17s - loss: 4.8876 - acc: 0.0101 - ETA: 17s - loss: 4.8876 - acc: 0.0101 - ETA: 17s - loss: 4.8877 - acc: 0.0100 - ETA: 17s - loss: 4.8876 - acc: 0.0100 - ETA: 16s - loss: 4.8877 - acc: 0.0100 - ETA: 16s - loss: 4.8877 - acc: 0.0101 - ETA: 16s - loss: 4.8876 - acc: 0.0101 - ETA: 16s - loss: 4.8875 - acc: 0.0103 - ETA: 16s - loss: 4.8875 - acc: 0.0104 - ETA: 16s - loss: 4.8875 - acc: 0.0104 - ETA: 16s - loss: 4.8872 - acc: 0.0104 - ETA: 15s - loss: 4.8872 - acc: 0.0103 - ETA: 15s - loss: 4.8872 - acc: 0.0105 - ETA: 15s - loss: 4.8873 - acc: 0.0107 - ETA: 15s - loss: 4.8871 - acc: 0.0106 - ETA: 15s - loss: 4.8870 - acc: 0.0106 - ETA: 15s - loss: 4.8870 - acc: 0.0105 - ETA: 14s - loss: 4.8871 - acc: 0.0105 - ETA: 14s - loss: 4.8871 - acc: 0.0104 - ETA: 14s - loss: 4.8871 - acc: 0.0106 - ETA: 14s - loss: 4.8870 - acc: 0.0105 - ETA: 14s - loss: 4.8871 - acc: 0.0105 - ETA: 14s - loss: 4.8870 - acc: 0.0107 - ETA: 14s - loss: 4.8869 - acc: 0.0106 - ETA: 13s - loss: 4.8870 - acc: 0.0106 - ETA: 13s - loss: 4.8869 - acc: 0.0105 - ETA: 13s - loss: 4.8869 - acc: 0.0105 - ETA: 13s - loss: 4.8868 - acc: 0.0105 - ETA: 13s - loss: 4.8865 - acc: 0.0104 - ETA: 13s - loss: 4.8867 - acc: 0.0104 - ETA: 13s - loss: 4.8868 - acc: 0.0103 - ETA: 12s - loss: 4.8869 - acc: 0.0103 - ETA: 12s - loss: 4.8870 - acc: 0.0102 - ETA: 12s - loss: 4.8869 - acc: 0.0102 - ETA: 12s - loss: 4.8869 - acc: 0.0102 - ETA: 12s - loss: 4.8867 - acc: 0.0101 - ETA: 12s - loss: 4.8867 - acc: 0.0101 - ETA: 11s - loss: 4.8865 - acc: 0.0102 - ETA: 11s - loss: 4.8864 - acc: 0.0102 - ETA: 11s - loss: 4.8864 - acc: 0.0102 - ETA: 11s - loss: 4.8863 - acc: 0.0101 - ETA: 11s - loss: 4.8865 - acc: 0.0101 - ETA: 11s - loss: 4.8866 - acc: 0.0100 - ETA: 11s - loss: 4.8865 - acc: 0.0100 - ETA: 10s - loss: 4.8865 - acc: 0.0100 - ETA: 10s - loss: 4.8864 - acc: 0.0099 - ETA: 10s - loss: 4.8863 - acc: 0.0099 - ETA: 10s - loss: 4.8863 - acc: 0.0098 - ETA: 10s - loss: 4.8862 - acc: 0.0098 - ETA: 10s - loss: 4.8862 - acc: 0.0098 - ETA: 9s - loss: 4.8862 - acc: 0.0097 - ETA: 9s - loss: 4.8861 - acc: 0.0097 - ETA: 9s - loss: 4.8862 - acc: 0.0097 - ETA: 9s - loss: 4.8860 - acc: 0.0098 - ETA: 9s - loss: 4.8861 - acc: 0.0098 - ETA: 9s - loss: 4.8859 - acc: 0.0097 - ETA: 9s - loss: 4.8861 - acc: 0.0097 - ETA: 8s - loss: 4.8859 - acc: 0.0097 - ETA: 8s - loss: 4.8859 - acc: 0.0096 - ETA: 8s - loss: 4.8859 - acc: 0.0096 - ETA: 8s - loss: 4.8858 - acc: 0.0096 - ETA: 8s - loss: 4.8857 - acc: 0.0095 - ETA: 8s - loss: 4.8860 - acc: 0.0095 - ETA: 8s - loss: 4.8860 - acc: 0.0095 - ETA: 7s - loss: 4.8862 - acc: 0.0094 - ETA: 7s - loss: 4.8862 - acc: 0.0094 - ETA: 7s - loss: 4.8862 - acc: 0.0094 - ETA: 7s - loss: 4.8862 - acc: 0.0095 - ETA: 7s - loss: 4.8860 - acc: 0.0096 - ETA: 7s - loss: 4.8860 - acc: 0.0096 - ETA: 6s - loss: 4.8859 - acc: 0.0096 - ETA: 6s - loss: 4.8859 - acc: 0.0095 - ETA: 6s - loss: 4.8858 - acc: 0.0095 - ETA: 6s - loss: 4.8859 - acc: 0.0095 - ETA: 6s - loss: 4.8860 - acc: 0.0095 - ETA: 6s - loss: 4.8858 - acc: 0.0096 - ETA: 6s - loss: 4.8858 - acc: 0.0096 - ETA: 5s - loss: 4.8859 - acc: 0.0095 - ETA: 5s - loss: 4.8859 - acc: 0.0095 - ETA: 5s - loss: 4.8860 - acc: 0.0095 - ETA: 5s - loss: 4.8860 - acc: 0.0094 - ETA: 5s - loss: 4.8860 - acc: 0.0094 - ETA: 5s - loss: 4.8859 - acc: 0.0094 - ETA: 5s - loss: 4.8860 - acc: 0.0095 - ETA: 4s - loss: 4.8860 - acc: 0.0095 - ETA: 4s - loss: 4.8860 - acc: 0.0094 - ETA: 4s - loss: 4.8860 - acc: 0.0094 - ETA: 4s - loss: 4.8860 - acc: 0.0095 - ETA: 4s - loss: 4.8859 - acc: 0.0095 - ETA: 4s - loss: 4.8859 - acc: 0.0095 - ETA: 4s - loss: 4.8858 - acc: 0.0094 - ETA: 3s - loss: 4.8858 - acc: 0.0094 - ETA: 3s - loss: 4.8857 - acc: 0.0095 - ETA: 3s - loss: 4.8858 - acc: 0.0095 - ETA: 3s - loss: 4.8858 - acc: 0.0095 - ETA: 3s - loss: 4.8860 - acc: 0.0095 - ETA: 3s - loss: 4.8861 - acc: 0.0094 - ETA: 2s - loss: 4.8861 - acc: 0.0094 - ETA: 2s - loss: 4.8861 - acc: 0.0094 - ETA: 2s - loss: 4.8861 - acc: 0.0095 - ETA: 2s - loss: 4.8862 - acc: 0.0095 - ETA: 2s - loss: 4.8862 - acc: 0.0094 - ETA: 2s - loss: 4.8863 - acc: 0.0094 - ETA: 2s - loss: 4.8862 - acc: 0.0094 - ETA: 1s - loss: 4.8862 - acc: 0.0093 - ETA: 1s - loss: 4.8863 - acc: 0.0093 - ETA: 1s - loss: 4.8863 - acc: 0.0093 - ETA: 1s - loss: 4.8863 - acc: 0.0094 - ETA: 1s - loss: 4.8863 - acc: 0.0094 - ETA: 1s - loss: 4.8864 - acc: 0.0094 - ETA: 1s - loss: 4.8862 - acc: 0.0093 - ETA: 0s - loss: 4.8861 - acc: 0.0093 - ETA: 0s - loss: 4.8861 - acc: 0.0093 - ETA: 0s - loss: 4.8861 - acc: 0.0092 - ETA: 0s - loss: 4.8861 - acc: 0.0094 - ETA: 0s - loss: 4.8861 - acc: 0.0093 - ETA: 0s - loss: 4.8861 - acc: 0.0093Epoch 00000: val_loss improved from inf to 4.87577, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 52s - loss: 4.8862 - acc: 0.0093 - val_loss: 4.8758 - val_acc: 0.0108 Epoch 2/40 6660/6680 [============================>.] - ETA: 46s - loss: 4.8687 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8838 - acc: 0.0000e+00 - ETA: 47s - loss: 4.8876 - acc: 0.0000e+00 - ETA: 47s - loss: 4.8938 - acc: 0.0000e+00 - ETA: 47s - loss: 4.8937 - acc: 0.0000e+00 - ETA: 47s - loss: 4.8903 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8857 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8945 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8893 - acc: 0.0056 - ETA: 46s - loss: 4.8893 - acc: 0.0050 - ETA: 46s - loss: 4.8890 - acc: 0.0045 - ETA: 46s - loss: 4.8850 - acc: 0.0083 - ETA: 46s - loss: 4.8862 - acc: 0.0077 - ETA: 46s - loss: 4.8815 - acc: 0.0071 - ETA: 45s - loss: 4.8765 - acc: 0.0067 - ETA: 45s - loss: 4.8769 - acc: 0.0063 - ETA: 45s - loss: 4.8779 - acc: 0.0088 - ETA: 45s - loss: 4.8773 - acc: 0.0083 - ETA: 45s - loss: 4.8764 - acc: 0.0079 - ETA: 45s - loss: 4.8771 - acc: 0.0075 - ETA: 45s - loss: 4.8752 - acc: 0.0071 - ETA: 44s - loss: 4.8719 - acc: 0.0068 - ETA: 44s - loss: 4.8698 - acc: 0.0065 - ETA: 44s - loss: 4.8675 - acc: 0.0063 - ETA: 44s - loss: 4.8663 - acc: 0.0060 - ETA: 44s - loss: 4.8615 - acc: 0.0077 - ETA: 44s - loss: 4.8664 - acc: 0.0093 - ETA: 44s - loss: 4.8665 - acc: 0.0089 - ETA: 44s - loss: 4.8662 - acc: 0.0086 - ETA: 43s - loss: 4.8680 - acc: 0.0083 - ETA: 43s - loss: 4.8681 - acc: 0.0081 - ETA: 43s - loss: 4.8685 - acc: 0.0078 - ETA: 43s - loss: 4.8678 - acc: 0.0076 - ETA: 43s - loss: 4.8670 - acc: 0.0074 - ETA: 43s - loss: 4.8682 - acc: 0.0071 - ETA: 42s - loss: 4.8671 - acc: 0.0069 - ETA: 42s - loss: 4.8663 - acc: 0.0068 - ETA: 42s - loss: 4.8645 - acc: 0.0066 - ETA: 42s - loss: 4.8646 - acc: 0.0064 - ETA: 42s - loss: 4.8637 - acc: 0.0063 - ETA: 42s - loss: 4.8664 - acc: 0.0061 - ETA: 42s - loss: 4.8660 - acc: 0.0071 - ETA: 41s - loss: 4.8672 - acc: 0.0070 - ETA: 41s - loss: 4.8677 - acc: 0.0080 - ETA: 41s - loss: 4.8674 - acc: 0.0078 - ETA: 41s - loss: 4.8662 - acc: 0.0076 - ETA: 41s - loss: 4.8651 - acc: 0.0074 - ETA: 41s - loss: 4.8653 - acc: 0.0073 - ETA: 41s - loss: 4.8651 - acc: 0.0071 - ETA: 40s - loss: 4.8658 - acc: 0.0070 - ETA: 40s - loss: 4.8666 - acc: 0.0069 - ETA: 40s - loss: 4.8671 - acc: 0.0067 - ETA: 40s - loss: 4.8667 - acc: 0.0066 - ETA: 40s - loss: 4.8678 - acc: 0.0074 - ETA: 40s - loss: 4.8688 - acc: 0.0073 - ETA: 40s - loss: 4.8697 - acc: 0.0071 - ETA: 39s - loss: 4.8708 - acc: 0.0070 - ETA: 39s - loss: 4.8699 - acc: 0.0078 - ETA: 39s - loss: 4.8699 - acc: 0.0085 - ETA: 39s - loss: 4.8699 - acc: 0.0083 - ETA: 39s - loss: 4.8704 - acc: 0.0082 - ETA: 39s - loss: 4.8702 - acc: 0.0081 - ETA: 39s - loss: 4.8700 - acc: 0.0079 - ETA: 38s - loss: 4.8696 - acc: 0.0078 - ETA: 38s - loss: 4.8701 - acc: 0.0077 - ETA: 38s - loss: 4.8703 - acc: 0.0076 - ETA: 38s - loss: 4.8704 - acc: 0.0075 - ETA: 38s - loss: 4.8703 - acc: 0.0074 - ETA: 38s - loss: 4.8703 - acc: 0.0072 - ETA: 38s - loss: 4.8707 - acc: 0.0071 - ETA: 37s - loss: 4.8703 - acc: 0.0070 - ETA: 37s - loss: 4.8706 - acc: 0.0076 - ETA: 37s - loss: 4.8708 - acc: 0.0075 - ETA: 37s - loss: 4.8717 - acc: 0.0074 - ETA: 37s - loss: 4.8720 - acc: 0.0073 - ETA: 37s - loss: 4.8722 - acc: 0.0072 - ETA: 36s - loss: 4.8725 - acc: 0.0071 - ETA: 36s - loss: 4.8729 - acc: 0.0071 - ETA: 36s - loss: 4.8729 - acc: 0.0070 - ETA: 36s - loss: 4.8727 - acc: 0.0069 - ETA: 36s - loss: 4.8726 - acc: 0.0068 - ETA: 36s - loss: 4.8727 - acc: 0.0067 - ETA: 36s - loss: 4.8723 - acc: 0.0072 - ETA: 35s - loss: 4.8723 - acc: 0.0071 - ETA: 35s - loss: 4.8721 - acc: 0.0076 - ETA: 35s - loss: 4.8727 - acc: 0.0076 - ETA: 35s - loss: 4.8730 - acc: 0.0075 - ETA: 35s - loss: 4.8732 - acc: 0.0074 - ETA: 35s - loss: 4.8729 - acc: 0.0073 - ETA: 35s - loss: 4.8722 - acc: 0.0072 - ETA: 34s - loss: 4.8720 - acc: 0.0071 - ETA: 34s - loss: 4.8714 - acc: 0.0071 - ETA: 34s - loss: 4.8722 - acc: 0.0070 - ETA: 34s - loss: 4.8719 - acc: 0.0069 - ETA: 34s - loss: 4.8715 - acc: 0.0068 - ETA: 34s - loss: 4.8718 - acc: 0.0068 - ETA: 34s - loss: 4.8718 - acc: 0.0067 - ETA: 33s - loss: 4.8722 - acc: 0.0066 - ETA: 33s - loss: 4.8716 - acc: 0.0071 - ETA: 33s - loss: 4.8711 - acc: 0.0070 - ETA: 33s - loss: 4.8714 - acc: 0.0069 - ETA: 33s - loss: 4.8708 - acc: 0.0074 - ETA: 33s - loss: 4.8702 - acc: 0.0073 - ETA: 33s - loss: 4.8696 - acc: 0.0072 - ETA: 32s - loss: 4.8699 - acc: 0.0071 - ETA: 32s - loss: 4.8708 - acc: 0.0071 - ETA: 32s - loss: 4.8702 - acc: 0.0070 - ETA: 32s - loss: 4.8713 - acc: 0.0069 - ETA: 32s - loss: 4.8713 - acc: 0.0073 - ETA: 32s - loss: 4.8712 - acc: 0.0073 - ETA: 32s - loss: 4.8715 - acc: 0.0072 - ETA: 31s - loss: 4.8715 - acc: 0.0071 - ETA: 31s - loss: 4.8714 - acc: 0.0075 - ETA: 31s - loss: 4.8712 - acc: 0.0079 - ETA: 31s - loss: 4.8712 - acc: 0.0078 - ETA: 31s - loss: 4.8720 - acc: 0.0078 - ETA: 31s - loss: 4.8720 - acc: 0.0077 - ETA: 31s - loss: 4.8717 - acc: 0.0081 - ETA: 30s - loss: 4.8716 - acc: 0.0080 - ETA: 30s - loss: 4.8718 - acc: 0.0079 - ETA: 30s - loss: 4.8721 - acc: 0.0079 - ETA: 30s - loss: 4.8723 - acc: 0.0078 - ETA: 30s - loss: 4.8723 - acc: 0.0077 - ETA: 30s - loss: 4.8721 - acc: 0.0081 - ETA: 30s - loss: 4.8721 - acc: 0.0080 - ETA: 29s - loss: 4.8720 - acc: 0.0079 - ETA: 29s - loss: 4.8722 - acc: 0.0079 - ETA: 29s - loss: 4.8723 - acc: 0.0078 - ETA: 29s - loss: 4.8724 - acc: 0.0081 - ETA: 29s - loss: 4.8717 - acc: 0.0085 - ETA: 29s - loss: 4.8714 - acc: 0.0084 - ETA: 29s - loss: 4.8710 - acc: 0.0083 - ETA: 28s - loss: 4.8716 - acc: 0.0083 - ETA: 28s - loss: 4.8721 - acc: 0.0082 - ETA: 28s - loss: 4.8722 - acc: 0.0081 - ETA: 28s - loss: 4.8716 - acc: 0.0081 - ETA: 28s - loss: 4.8718 - acc: 0.0084 - ETA: 28s - loss: 4.8720 - acc: 0.0083 - ETA: 28s - loss: 4.8718 - acc: 0.0086 - ETA: 27s - loss: 4.8715 - acc: 0.0089 - ETA: 27s - loss: 4.8711 - acc: 0.0092 - ETA: 27s - loss: 4.8709 - acc: 0.0095 - ETA: 27s - loss: 4.8714 - acc: 0.0094 - ETA: 27s - loss: 4.8707 - acc: 0.0094 - ETA: 27s - loss: 4.8705 - acc: 0.0093 - ETA: 27s - loss: 4.8705 - acc: 0.0092 - ETA: 26s - loss: 4.8704 - acc: 0.0092 - ETA: 26s - loss: 4.8705 - acc: 0.0091 - ETA: 26s - loss: 4.8703 - acc: 0.0091 - ETA: 26s - loss: 4.8706 - acc: 0.0093 - ETA: 26s - loss: 4.8707 - acc: 0.0093 - ETA: 26s - loss: 4.8702 - acc: 0.0092 - ETA: 26s - loss: 4.8699 - acc: 0.0092 - ETA: 25s - loss: 4.8702 - acc: 0.0091 - ETA: 25s - loss: 4.8706 - acc: 0.0090 - ETA: 25s - loss: 4.8702 - acc: 0.0093 - ETA: 25s - loss: 4.8708 - acc: 0.0092 - ETA: 25s - loss: 4.8711 - acc: 0.0095 - ETA: 25s - loss: 4.8706 - acc: 0.0101 - ETA: 25s - loss: 4.8703 - acc: 0.0100 - ETA: 24s - loss: 4.8709 - acc: 0.0102 - ETA: 24s - loss: 4.8713 - acc: 0.0102 - ETA: 24s - loss: 4.8712 - acc: 0.0104 - ETA: 24s - loss: 4.8713 - acc: 0.0104 - ETA: 24s - loss: 4.8716 - acc: 0.0103 - ETA: 24s - loss: 4.8712 - acc: 0.0102 - ETA: 24s - loss: 4.8711 - acc: 0.0102 - ETA: 23s - loss: 4.8710 - acc: 0.0101 - ETA: 23s - loss: 4.8712 - acc: 0.0101 - ETA: 23s - loss: 4.8713 - acc: 0.0100 - ETA: 23s - loss: 4.8715 - acc: 0.0099 - ETA: 23s - loss: 4.8715 - acc: 0.0099 - ETA: 23s - loss: 4.8710 - acc: 0.0098 - ETA: 23s - loss: 4.8705 - acc: 0.0098 - ETA: 22s - loss: 4.8711 - acc: 0.0097 - ETA: 22s - loss: 4.8709 - acc: 0.0097 - ETA: 22s - loss: 4.8709 - acc: 0.0096 - ETA: 22s - loss: 4.8711 - acc: 0.0096 - ETA: 22s - loss: 4.8714 - acc: 0.0095 - ETA: 22s - loss: 4.8713 - acc: 0.0094 - ETA: 22s - loss: 4.8712 - acc: 0.0094 - ETA: 21s - loss: 4.8715 - acc: 0.0096 - ETA: 21s - loss: 4.8714 - acc: 0.0096 - ETA: 21s - loss: 4.8717 - acc: 0.0095 - ETA: 21s - loss: 4.8715 - acc: 0.0095 - ETA: 21s - loss: 4.8716 - acc: 0.0097 - ETA: 21s - loss: 4.8719 - acc: 0.0099 - ETA: 21s - loss: 4.8719 - acc: 0.0098 - ETA: 20s - loss: 4.8719 - acc: 0.0101 - ETA: 20s - loss: 4.8719 - acc: 0.0100 - ETA: 20s - loss: 4.8718 - acc: 0.0102 - ETA: 20s - loss: 4.8716 - acc: 0.0102 - ETA: 20s - loss: 4.8715 - acc: 0.0101 - ETA: 20s - loss: 4.8719 - acc: 0.0101 - ETA: 20s - loss: 4.8718 - acc: 0.0100 - ETA: 19s - loss: 4.8721 - acc: 0.0099 - ETA: 19s - loss: 4.8721 - acc: 0.0102 - ETA: 19s - loss: 4.8718 - acc: 0.0101 - ETA: 19s - loss: 4.8717 - acc: 0.0101 - ETA: 19s - loss: 4.8714 - acc: 0.0100 - ETA: 19s - loss: 4.8716 - acc: 0.0100 - ETA: 18s - loss: 4.8716 - acc: 0.0099 - ETA: 18s - loss: 4.8715 - acc: 0.0099 - ETA: 18s - loss: 4.8717 - acc: 0.0098 - ETA: 18s - loss: 4.8720 - acc: 0.0098 - ETA: 18s - loss: 4.8721 - acc: 0.0097 - ETA: 18s - loss: 4.8721 - acc: 0.0097 - ETA: 18s - loss: 4.8724 - acc: 0.0096 - ETA: 17s - loss: 4.8720 - acc: 0.0100 - ETA: 17s - loss: 4.8723 - acc: 0.0100 - ETA: 17s - loss: 4.8722 - acc: 0.0100 - ETA: 17s - loss: 4.8725 - acc: 0.0099 - ETA: 17s - loss: 4.8725 - acc: 0.0099 - ETA: 17s - loss: 4.8727 - acc: 0.0098 - ETA: 17s - loss: 4.8725 - acc: 0.0098 - ETA: 16s - loss: 4.8725 - acc: 0.0100 - ETA: 16s - loss: 4.8725 - acc: 0.0099 - ETA: 16s - loss: 4.8731 - acc: 0.0099 - ETA: 16s - loss: 4.8732 - acc: 0.0098 - ETA: 16s - loss: 4.8733 - acc: 0.0098 - ETA: 16s - loss: 4.8734 - acc: 0.0100 - ETA: 16s - loss: 4.8733 - acc: 0.0101 - ETA: 15s - loss: 4.8734 - acc: 0.0101 - ETA: 15s - loss: 4.8737 - acc: 0.0100 - ETA: 15s - loss: 4.8737 - acc: 0.0100 - ETA: 15s - loss: 4.8735 - acc: 0.0100 - ETA: 15s - loss: 4.8734 - acc: 0.0099 - ETA: 15s - loss: 4.8733 - acc: 0.0099 - ETA: 15s - loss: 4.8732 - acc: 0.0098 - ETA: 14s - loss: 4.8731 - acc: 0.0098 - ETA: 14s - loss: 4.8729 - acc: 0.0097 - ETA: 14s - loss: 4.8726 - acc: 0.0097 - ETA: 14s - loss: 4.8731 - acc: 0.0097 - ETA: 14s - loss: 4.8733 - acc: 0.0096 - ETA: 14s - loss: 4.8733 - acc: 0.0096 - ETA: 14s - loss: 4.8732 - acc: 0.0095 - ETA: 13s - loss: 4.8732 - acc: 0.0095 - ETA: 13s - loss: 4.8731 - acc: 0.0097 - ETA: 13s - loss: 4.8731 - acc: 0.0098 - ETA: 13s - loss: 4.8734 - acc: 0.0098 - ETA: 13s - loss: 4.8736 - acc: 0.0098 - ETA: 13s - loss: 4.8738 - acc: 0.0101 - ETA: 13s - loss: 4.8735 - acc: 0.0101 - ETA: 12s - loss: 4.8735 - acc: 0.0100 - ETA: 12s - loss: 4.8734 - acc: 0.0104 - ETA: 12s - loss: 4.8733 - acc: 0.0104 - ETA: 12s - loss: 4.8734 - acc: 0.0103 - ETA: 12s - loss: 4.8734 - acc: 0.0103 - ETA: 12s - loss: 4.8734 - acc: 0.0102 - ETA: 12s - loss: 4.8731 - acc: 0.0104 - ETA: 11s - loss: 4.8730 - acc: 0.0104 - ETA: 11s - loss: 4.8728 - acc: 0.0103 - ETA: 11s - loss: 4.8729 - acc: 0.0103 - ETA: 11s - loss: 4.8728 - acc: 0.0104 - ETA: 11s - loss: 4.8729 - acc: 0.0104 - ETA: 11s - loss: 4.8730 - acc: 0.0104 - ETA: 11s - loss: 4.8731 - acc: 0.0103 - ETA: 10s - loss: 4.8729 - acc: 0.0103 - ETA: 10s - loss: 4.8729 - acc: 0.0102 - ETA: 10s - loss: 4.8733 - acc: 0.0102 - ETA: 10s - loss: 4.8734 - acc: 0.0102 - ETA: 10s - loss: 4.8733 - acc: 0.0101 - ETA: 10s - loss: 4.8734 - acc: 0.0101 - ETA: 10s - loss: 4.8737 - acc: 0.0100 - ETA: 9s - loss: 4.8738 - acc: 0.0102 - ETA: 9s - loss: 4.8736 - acc: 0.0103 - ETA: 9s - loss: 4.8734 - acc: 0.0105 - ETA: 9s - loss: 4.8736 - acc: 0.0106 - ETA: 9s - loss: 4.8736 - acc: 0.0106 - ETA: 9s - loss: 4.8736 - acc: 0.0106 - ETA: 9s - loss: 4.8736 - acc: 0.0105 - ETA: 8s - loss: 4.8737 - acc: 0.0107 - ETA: 8s - loss: 4.8738 - acc: 0.0106 - ETA: 8s - loss: 4.8738 - acc: 0.0106 - ETA: 8s - loss: 4.8738 - acc: 0.0105 - ETA: 8s - loss: 4.8737 - acc: 0.0105 - ETA: 8s - loss: 4.8738 - acc: 0.0106 - ETA: 8s - loss: 4.8740 - acc: 0.0106 - ETA: 7s - loss: 4.8740 - acc: 0.0108 - ETA: 7s - loss: 4.8739 - acc: 0.0107 - ETA: 7s - loss: 4.8736 - acc: 0.0107 - ETA: 7s - loss: 4.8738 - acc: 0.0106 - ETA: 7s - loss: 4.8738 - acc: 0.0108 - ETA: 7s - loss: 4.8738 - acc: 0.0107 - ETA: 7s - loss: 4.8737 - acc: 0.0109 - ETA: 6s - loss: 4.8738 - acc: 0.0108 - ETA: 6s - loss: 4.8737 - acc: 0.0108 - ETA: 6s - loss: 4.8740 - acc: 0.0108 - ETA: 6s - loss: 4.8739 - acc: 0.0109 - ETA: 6s - loss: 4.8739 - acc: 0.0110 - ETA: 6s - loss: 4.8739 - acc: 0.0112 - ETA: 6s - loss: 4.8739 - acc: 0.0111 - ETA: 5s - loss: 4.8739 - acc: 0.0111 - ETA: 5s - loss: 4.8740 - acc: 0.0111 - ETA: 5s - loss: 4.8739 - acc: 0.0110 - ETA: 5s - loss: 4.8740 - acc: 0.0110 - ETA: 5s - loss: 4.8739 - acc: 0.0109 - ETA: 5s - loss: 4.8738 - acc: 0.0109 - ETA: 5s - loss: 4.8739 - acc: 0.0109 - ETA: 4s - loss: 4.8740 - acc: 0.0108 - ETA: 4s - loss: 4.8740 - acc: 0.0108 - ETA: 4s - loss: 4.8739 - acc: 0.0108 - ETA: 4s - loss: 4.8739 - acc: 0.0109 - ETA: 4s - loss: 4.8739 - acc: 0.0109 - ETA: 4s - loss: 4.8740 - acc: 0.0108 - ETA: 4s - loss: 4.8742 - acc: 0.0108 - ETA: 3s - loss: 4.8742 - acc: 0.0107 - ETA: 3s - loss: 4.8743 - acc: 0.0107 - ETA: 3s - loss: 4.8745 - acc: 0.0107 - ETA: 3s - loss: 4.8745 - acc: 0.0106 - ETA: 3s - loss: 4.8743 - acc: 0.0106 - ETA: 3s - loss: 4.8743 - acc: 0.0106 - ETA: 3s - loss: 4.8742 - acc: 0.0105 - ETA: 2s - loss: 4.8740 - acc: 0.0105 - ETA: 2s - loss: 4.8739 - acc: 0.0105 - ETA: 2s - loss: 4.8740 - acc: 0.0104 - ETA: 2s - loss: 4.8742 - acc: 0.0104 - ETA: 2s - loss: 4.8741 - acc: 0.0104 - ETA: 2s - loss: 4.8741 - acc: 0.0103 - ETA: 2s - loss: 4.8741 - acc: 0.0103 - ETA: 1s - loss: 4.8742 - acc: 0.0103 - ETA: 1s - loss: 4.8742 - acc: 0.0102 - ETA: 1s - loss: 4.8743 - acc: 0.0102 - ETA: 1s - loss: 4.8741 - acc: 0.0103 - ETA: 1s - loss: 4.8742 - acc: 0.0103 - ETA: 1s - loss: 4.8741 - acc: 0.0104 - ETA: 1s - loss: 4.8741 - acc: 0.0104 - ETA: 0s - loss: 4.8741 - acc: 0.0104 - ETA: 0s - loss: 4.8741 - acc: 0.0103 - ETA: 0s - loss: 4.8740 - acc: 0.0103 - ETA: 0s - loss: 4.8740 - acc: 0.0103 - ETA: 0s - loss: 4.8742 - acc: 0.0102 - ETA: 0s - loss: 4.8741 - acc: 0.0102Epoch 00001: val_loss improved from 4.87577 to 4.86974, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.8742 - acc: 0.0102 - val_loss: 4.8697 - val_acc: 0.0108 Epoch 3/40 6660/6680 [============================>.] - ETA: 43s - loss: 4.8664 - acc: 0.0000e+00 - ETA: 47s - loss: 4.8371 - acc: 0.0000e+00 - ETA: 45s - loss: 4.8444 - acc: 0.0000e+00 - ETA: 45s - loss: 4.8565 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8622 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8618 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8643 - acc: 0.0071 - ETA: 46s - loss: 4.8679 - acc: 0.0063 - ETA: 47s - loss: 4.8733 - acc: 0.0056 - ETA: 47s - loss: 4.8723 - acc: 0.0050 - ETA: 46s - loss: 4.8727 - acc: 0.0045 - ETA: 47s - loss: 4.8703 - acc: 0.0125 - ETA: 46s - loss: 4.8669 - acc: 0.0154 - ETA: 47s - loss: 4.8647 - acc: 0.0143 - ETA: 46s - loss: 4.8634 - acc: 0.0133 - ETA: 46s - loss: 4.8621 - acc: 0.0156 - ETA: 46s - loss: 4.8600 - acc: 0.0147 - ETA: 46s - loss: 4.8649 - acc: 0.0139 - ETA: 46s - loss: 4.8635 - acc: 0.0132 - ETA: 45s - loss: 4.8646 - acc: 0.0150 - ETA: 45s - loss: 4.8622 - acc: 0.0167 - ETA: 45s - loss: 4.8615 - acc: 0.0182 - ETA: 45s - loss: 4.8637 - acc: 0.0174 - ETA: 45s - loss: 4.8636 - acc: 0.0167 - ETA: 45s - loss: 4.8661 - acc: 0.0160 - ETA: 45s - loss: 4.8641 - acc: 0.0154 - ETA: 45s - loss: 4.8684 - acc: 0.0148 - ETA: 45s - loss: 4.8670 - acc: 0.0143 - ETA: 44s - loss: 4.8656 - acc: 0.0138 - ETA: 44s - loss: 4.8667 - acc: 0.0133 - ETA: 44s - loss: 4.8656 - acc: 0.0129 - ETA: 44s - loss: 4.8664 - acc: 0.0141 - ETA: 44s - loss: 4.8655 - acc: 0.0136 - ETA: 44s - loss: 4.8651 - acc: 0.0132 - ETA: 43s - loss: 4.8651 - acc: 0.0129 - ETA: 43s - loss: 4.8652 - acc: 0.0125 - ETA: 43s - loss: 4.8670 - acc: 0.0122 - ETA: 43s - loss: 4.8673 - acc: 0.0132 - ETA: 43s - loss: 4.8675 - acc: 0.0128 - ETA: 43s - loss: 4.8662 - acc: 0.0125 - ETA: 42s - loss: 4.8649 - acc: 0.0122 - ETA: 42s - loss: 4.8651 - acc: 0.0131 - ETA: 42s - loss: 4.8632 - acc: 0.0128 - ETA: 42s - loss: 4.8649 - acc: 0.0125 - ETA: 42s - loss: 4.8654 - acc: 0.0122 - ETA: 42s - loss: 4.8654 - acc: 0.0120 - ETA: 41s - loss: 4.8664 - acc: 0.0117 - ETA: 41s - loss: 4.8650 - acc: 0.0115 - ETA: 41s - loss: 4.8675 - acc: 0.0112 - ETA: 41s - loss: 4.8672 - acc: 0.0110 - ETA: 41s - loss: 4.8670 - acc: 0.0108 - ETA: 41s - loss: 4.8686 - acc: 0.0106 - ETA: 40s - loss: 4.8683 - acc: 0.0104 - ETA: 40s - loss: 4.8690 - acc: 0.0111 - ETA: 40s - loss: 4.8693 - acc: 0.0109 - ETA: 40s - loss: 4.8698 - acc: 0.0107 - ETA: 40s - loss: 4.8684 - acc: 0.0105 - ETA: 40s - loss: 4.8676 - acc: 0.0103 - ETA: 39s - loss: 4.8678 - acc: 0.0102 - ETA: 39s - loss: 4.8667 - acc: 0.0100 - ETA: 39s - loss: 4.8678 - acc: 0.0098 - ETA: 39s - loss: 4.8671 - acc: 0.0097 - ETA: 39s - loss: 4.8661 - acc: 0.0095 - ETA: 39s - loss: 4.8662 - acc: 0.0094 - ETA: 39s - loss: 4.8661 - acc: 0.0092 - ETA: 38s - loss: 4.8666 - acc: 0.0091 - ETA: 38s - loss: 4.8656 - acc: 0.0090 - ETA: 38s - loss: 4.8659 - acc: 0.0088 - ETA: 38s - loss: 4.8649 - acc: 0.0087 - ETA: 38s - loss: 4.8650 - acc: 0.0086 - ETA: 38s - loss: 4.8647 - acc: 0.0085 - ETA: 38s - loss: 4.8648 - acc: 0.0090 - ETA: 38s - loss: 4.8642 - acc: 0.0089 - ETA: 37s - loss: 4.8648 - acc: 0.0088 - ETA: 37s - loss: 4.8654 - acc: 0.0087 - ETA: 37s - loss: 4.8659 - acc: 0.0092 - ETA: 37s - loss: 4.8662 - acc: 0.0091 - ETA: 37s - loss: 4.8670 - acc: 0.0090 - ETA: 37s - loss: 4.8668 - acc: 0.0089 - ETA: 37s - loss: 4.8664 - acc: 0.0088 - ETA: 36s - loss: 4.8663 - acc: 0.0086 - ETA: 36s - loss: 4.8666 - acc: 0.0085 - ETA: 36s - loss: 4.8672 - acc: 0.0084 - ETA: 36s - loss: 4.8669 - acc: 0.0083 - ETA: 36s - loss: 4.8667 - acc: 0.0088 - ETA: 36s - loss: 4.8662 - acc: 0.0087 - ETA: 36s - loss: 4.8662 - acc: 0.0086 - ETA: 35s - loss: 4.8656 - acc: 0.0091 - ETA: 35s - loss: 4.8653 - acc: 0.0090 - ETA: 35s - loss: 4.8658 - acc: 0.0089 - ETA: 35s - loss: 4.8661 - acc: 0.0088 - ETA: 35s - loss: 4.8658 - acc: 0.0087 - ETA: 35s - loss: 4.8660 - acc: 0.0086 - ETA: 34s - loss: 4.8656 - acc: 0.0090 - ETA: 34s - loss: 4.8662 - acc: 0.0089 - ETA: 34s - loss: 4.8656 - acc: 0.0089 - ETA: 34s - loss: 4.8664 - acc: 0.0088 - ETA: 34s - loss: 4.8658 - acc: 0.0087 - ETA: 34s - loss: 4.8663 - acc: 0.0086 - ETA: 34s - loss: 4.8659 - acc: 0.0085 - ETA: 33s - loss: 4.8673 - acc: 0.0084 - ETA: 33s - loss: 4.8667 - acc: 0.0083 - ETA: 33s - loss: 4.8665 - acc: 0.0083 - ETA: 33s - loss: 4.8662 - acc: 0.0082 - ETA: 33s - loss: 4.8658 - acc: 0.0081 - ETA: 33s - loss: 4.8658 - acc: 0.0080 - ETA: 33s - loss: 4.8662 - acc: 0.0079 - ETA: 32s - loss: 4.8659 - acc: 0.0079 - ETA: 32s - loss: 4.8661 - acc: 0.0078 - ETA: 32s - loss: 4.8662 - acc: 0.0077 - ETA: 32s - loss: 4.8665 - acc: 0.0077 - ETA: 32s - loss: 4.8658 - acc: 0.0076 - ETA: 32s - loss: 4.8657 - acc: 0.0075 - ETA: 31s - loss: 4.8650 - acc: 0.0075 - ETA: 31s - loss: 4.8644 - acc: 0.0074 - ETA: 31s - loss: 4.8642 - acc: 0.0073 - ETA: 31s - loss: 4.8643 - acc: 0.0073 - ETA: 31s - loss: 4.8644 - acc: 0.0072 - ETA: 31s - loss: 4.8633 - acc: 0.0071 - ETA: 31s - loss: 4.8633 - acc: 0.0071 - ETA: 30s - loss: 4.8628 - acc: 0.0070 - ETA: 30s - loss: 4.8637 - acc: 0.0070 - ETA: 30s - loss: 4.8637 - acc: 0.0069 - ETA: 30s - loss: 4.8635 - acc: 0.0069 - ETA: 30s - loss: 4.8638 - acc: 0.0068 - ETA: 30s - loss: 4.8639 - acc: 0.0067 - ETA: 30s - loss: 4.8636 - acc: 0.0067 - ETA: 29s - loss: 4.8640 - acc: 0.0066 - ETA: 29s - loss: 4.8637 - acc: 0.0066 - ETA: 29s - loss: 4.8640 - acc: 0.0065 - ETA: 29s - loss: 4.8644 - acc: 0.0065 - ETA: 29s - loss: 4.8646 - acc: 0.0064 - ETA: 29s - loss: 4.8641 - acc: 0.0068 - ETA: 29s - loss: 4.8648 - acc: 0.0067 - ETA: 28s - loss: 4.8660 - acc: 0.0067 - ETA: 28s - loss: 4.8659 - acc: 0.0066 - ETA: 28s - loss: 4.8657 - acc: 0.0069 - ETA: 28s - loss: 4.8657 - acc: 0.0069 - ETA: 28s - loss: 4.8654 - acc: 0.0068 - ETA: 28s - loss: 4.8657 - acc: 0.0068 - ETA: 28s - loss: 4.8659 - acc: 0.0067 - ETA: 27s - loss: 4.8666 - acc: 0.0067 - ETA: 27s - loss: 4.8664 - acc: 0.0066 - ETA: 27s - loss: 4.8664 - acc: 0.0066 - ETA: 27s - loss: 4.8666 - acc: 0.0066 - ETA: 27s - loss: 4.8663 - acc: 0.0068 - ETA: 27s - loss: 4.8667 - acc: 0.0068 - ETA: 26s - loss: 4.8663 - acc: 0.0068 - ETA: 26s - loss: 4.8664 - acc: 0.0067 - ETA: 26s - loss: 4.8656 - acc: 0.0067 - ETA: 26s - loss: 4.8662 - acc: 0.0066 - ETA: 26s - loss: 4.8669 - acc: 0.0066 - ETA: 26s - loss: 4.8669 - acc: 0.0065 - ETA: 26s - loss: 4.8666 - acc: 0.0065 - ETA: 25s - loss: 4.8664 - acc: 0.0065 - ETA: 25s - loss: 4.8662 - acc: 0.0064 - ETA: 25s - loss: 4.8661 - acc: 0.0064 - ETA: 25s - loss: 4.8656 - acc: 0.0063 - ETA: 25s - loss: 4.8655 - acc: 0.0063 - ETA: 25s - loss: 4.8651 - acc: 0.0066 - ETA: 25s - loss: 4.8653 - acc: 0.0065 - ETA: 24s - loss: 4.8651 - acc: 0.0068 - ETA: 24s - loss: 4.8656 - acc: 0.0067 - ETA: 24s - loss: 4.8653 - acc: 0.0070 - ETA: 24s - loss: 4.8656 - acc: 0.0073 - ETA: 24s - loss: 4.8658 - acc: 0.0072 - ETA: 24s - loss: 4.8657 - acc: 0.0072 - ETA: 23s - loss: 4.8659 - acc: 0.0071 - ETA: 23s - loss: 4.8664 - acc: 0.0071 - ETA: 23s - loss: 4.8667 - acc: 0.0071 - ETA: 23s - loss: 4.8667 - acc: 0.0070 - ETA: 23s - loss: 4.8666 - acc: 0.0073 - ETA: 23s - loss: 4.8666 - acc: 0.0072 - ETA: 23s - loss: 4.8668 - acc: 0.0078 - ETA: 22s - loss: 4.8664 - acc: 0.0077 - ETA: 22s - loss: 4.8666 - acc: 0.0077 - ETA: 22s - loss: 4.8668 - acc: 0.0079 - ETA: 22s - loss: 4.8671 - acc: 0.0081 - ETA: 22s - loss: 4.8671 - acc: 0.0081 - ETA: 22s - loss: 4.8670 - acc: 0.0081 - ETA: 22s - loss: 4.8669 - acc: 0.0080 - ETA: 21s - loss: 4.8669 - acc: 0.0080 - ETA: 21s - loss: 4.8665 - acc: 0.0079 - ETA: 21s - loss: 4.8667 - acc: 0.0079 - ETA: 21s - loss: 4.8665 - acc: 0.0078 - ETA: 21s - loss: 4.8665 - acc: 0.0081 - ETA: 21s - loss: 4.8664 - acc: 0.0080 - ETA: 21s - loss: 4.8668 - acc: 0.0080 - ETA: 20s - loss: 4.8668 - acc: 0.0079 - ETA: 20s - loss: 4.8668 - acc: 0.0079 - ETA: 20s - loss: 4.8665 - acc: 0.0079 - ETA: 20s - loss: 4.8664 - acc: 0.0078 - ETA: 20s - loss: 4.8668 - acc: 0.0078 - ETA: 20s - loss: 4.8662 - acc: 0.0080 - ETA: 20s - loss: 4.8664 - acc: 0.0079 - ETA: 19s - loss: 4.8663 - acc: 0.0079 - ETA: 19s - loss: 4.8659 - acc: 0.0079 - ETA: 19s - loss: 4.8651 - acc: 0.0078 - ETA: 19s - loss: 4.8651 - acc: 0.0078 - ETA: 19s - loss: 4.8648 - acc: 0.0085 - ETA: 19s - loss: 4.8657 - acc: 0.0087 - ETA: 19s - loss: 4.8658 - acc: 0.0087 - ETA: 18s - loss: 4.8659 - acc: 0.0086 - ETA: 18s - loss: 4.8665 - acc: 0.0088 - ETA: 18s - loss: 4.8664 - acc: 0.0088 - ETA: 18s - loss: 4.8666 - acc: 0.0087 - ETA: 18s - loss: 4.8666 - acc: 0.0089 - ETA: 18s - loss: 4.8665 - acc: 0.0091 - ETA: 18s - loss: 4.8665 - acc: 0.0091 - ETA: 17s - loss: 4.8665 - acc: 0.0093 - ETA: 17s - loss: 4.8662 - acc: 0.0095 - ETA: 17s - loss: 4.8660 - acc: 0.0094 - ETA: 17s - loss: 4.8659 - acc: 0.0094 - ETA: 17s - loss: 4.8654 - acc: 0.0096 - ETA: 17s - loss: 4.8656 - acc: 0.0095 - ETA: 17s - loss: 4.8663 - acc: 0.0095 - ETA: 16s - loss: 4.8662 - acc: 0.0097 - ETA: 16s - loss: 4.8662 - acc: 0.0096 - ETA: 16s - loss: 4.8663 - acc: 0.0096 - ETA: 16s - loss: 4.8662 - acc: 0.0095 - ETA: 16s - loss: 4.8664 - acc: 0.0095 - ETA: 16s - loss: 4.8666 - acc: 0.0095 - ETA: 16s - loss: 4.8668 - acc: 0.0099 - ETA: 15s - loss: 4.8663 - acc: 0.0098 - ETA: 15s - loss: 4.8666 - acc: 0.0102 - ETA: 15s - loss: 4.8667 - acc: 0.0102 - ETA: 15s - loss: 4.8661 - acc: 0.0101 - ETA: 15s - loss: 4.8658 - acc: 0.0101 - ETA: 15s - loss: 4.8662 - acc: 0.0100 - ETA: 15s - loss: 4.8659 - acc: 0.0102 - ETA: 14s - loss: 4.8660 - acc: 0.0102 - ETA: 14s - loss: 4.8660 - acc: 0.0101 - ETA: 14s - loss: 4.8662 - acc: 0.0101 - ETA: 14s - loss: 4.8665 - acc: 0.0100 - ETA: 14s - loss: 4.8667 - acc: 0.0100 - ETA: 14s - loss: 4.8665 - acc: 0.0100 - ETA: 14s - loss: 4.8666 - acc: 0.0099 - ETA: 13s - loss: 4.8664 - acc: 0.0099 - ETA: 13s - loss: 4.8665 - acc: 0.0098 - ETA: 13s - loss: 4.8664 - acc: 0.0098 - ETA: 13s - loss: 4.8670 - acc: 0.0098 - ETA: 13s - loss: 4.8667 - acc: 0.0099 - ETA: 13s - loss: 4.8667 - acc: 0.0099 - ETA: 13s - loss: 4.8663 - acc: 0.0098 - ETA: 12s - loss: 4.8667 - acc: 0.0098 - ETA: 12s - loss: 4.8669 - acc: 0.0098 - ETA: 12s - loss: 4.8668 - acc: 0.0097 - ETA: 12s - loss: 4.8667 - acc: 0.0097 - ETA: 12s - loss: 4.8668 - acc: 0.0096 - ETA: 12s - loss: 4.8668 - acc: 0.0096 - ETA: 12s - loss: 4.8667 - acc: 0.0096 - ETA: 11s - loss: 4.8665 - acc: 0.0097 - ETA: 11s - loss: 4.8661 - acc: 0.0099 - ETA: 11s - loss: 4.8663 - acc: 0.0098 - ETA: 11s - loss: 4.8661 - acc: 0.0098 - ETA: 11s - loss: 4.8661 - acc: 0.0100 - ETA: 11s - loss: 4.8663 - acc: 0.0099 - ETA: 11s - loss: 4.8664 - acc: 0.0101 - ETA: 10s - loss: 4.8663 - acc: 0.0100 - ETA: 10s - loss: 4.8662 - acc: 0.0102 - ETA: 10s - loss: 4.8659 - acc: 0.0103 - ETA: 10s - loss: 4.8663 - acc: 0.0103 - ETA: 10s - loss: 4.8661 - acc: 0.0103 - ETA: 10s - loss: 4.8663 - acc: 0.0102 - ETA: 9s - loss: 4.8660 - acc: 0.0104 - ETA: 9s - loss: 4.8657 - acc: 0.0109 - ETA: 9s - loss: 4.8655 - acc: 0.0110 - ETA: 9s - loss: 4.8651 - acc: 0.0110 - ETA: 9s - loss: 4.8649 - acc: 0.0112 - ETA: 9s - loss: 4.8649 - acc: 0.0111 - ETA: 9s - loss: 4.8652 - acc: 0.0111 - ETA: 8s - loss: 4.8655 - acc: 0.0110 - ETA: 8s - loss: 4.8655 - acc: 0.0112 - ETA: 8s - loss: 4.8651 - acc: 0.0111 - ETA: 8s - loss: 4.8655 - acc: 0.0111 - ETA: 8s - loss: 4.8654 - acc: 0.0111 - ETA: 8s - loss: 4.8656 - acc: 0.0110 - ETA: 8s - loss: 4.8653 - acc: 0.0110 - ETA: 7s - loss: 4.8652 - acc: 0.0113 - ETA: 7s - loss: 4.8650 - acc: 0.0113 - ETA: 7s - loss: 4.8649 - acc: 0.0112 - ETA: 7s - loss: 4.8647 - acc: 0.0112 - ETA: 7s - loss: 4.8648 - acc: 0.0111 - ETA: 7s - loss: 4.8647 - acc: 0.0111 - ETA: 7s - loss: 4.8649 - acc: 0.0111 - ETA: 6s - loss: 4.8648 - acc: 0.0112 - ETA: 6s - loss: 4.8646 - acc: 0.0111 - ETA: 6s - loss: 4.8646 - acc: 0.0111 - ETA: 6s - loss: 4.8645 - acc: 0.0111 - ETA: 6s - loss: 4.8642 - acc: 0.0110 - ETA: 6s - loss: 4.8636 - acc: 0.0110 - ETA: 6s - loss: 4.8642 - acc: 0.0111 - ETA: 5s - loss: 4.8641 - acc: 0.0111 - ETA: 5s - loss: 4.8640 - acc: 0.0111 - ETA: 5s - loss: 4.8636 - acc: 0.0110 - ETA: 5s - loss: 4.8638 - acc: 0.0110 - ETA: 5s - loss: 4.8638 - acc: 0.0111 - ETA: 5s - loss: 4.8638 - acc: 0.0111 - ETA: 5s - loss: 4.8635 - acc: 0.0112 - ETA: 4s - loss: 4.8635 - acc: 0.0113 - ETA: 4s - loss: 4.8631 - acc: 0.0115 - ETA: 4s - loss: 4.8630 - acc: 0.0116 - ETA: 4s - loss: 4.8627 - acc: 0.0116 - ETA: 4s - loss: 4.8623 - acc: 0.0120 - ETA: 4s - loss: 4.8621 - acc: 0.0121 - ETA: 4s - loss: 4.8620 - acc: 0.0123 - ETA: 3s - loss: 4.8614 - acc: 0.0122 - ETA: 3s - loss: 4.8623 - acc: 0.0122 - ETA: 3s - loss: 4.8624 - acc: 0.0121 - ETA: 3s - loss: 4.8625 - acc: 0.0121 - ETA: 3s - loss: 4.8627 - acc: 0.0121 - ETA: 3s - loss: 4.8628 - acc: 0.0122 - ETA: 3s - loss: 4.8629 - acc: 0.0121 - ETA: 2s - loss: 4.8628 - acc: 0.0121 - ETA: 2s - loss: 4.8625 - acc: 0.0122 - ETA: 2s - loss: 4.8625 - acc: 0.0123 - ETA: 2s - loss: 4.8623 - acc: 0.0125 - ETA: 2s - loss: 4.8624 - acc: 0.0124 - ETA: 2s - loss: 4.8621 - acc: 0.0124 - ETA: 2s - loss: 4.8621 - acc: 0.0123 - ETA: 1s - loss: 4.8624 - acc: 0.0123 - ETA: 1s - loss: 4.8622 - acc: 0.0123 - ETA: 1s - loss: 4.8622 - acc: 0.0122 - ETA: 1s - loss: 4.8625 - acc: 0.0122 - ETA: 1s - loss: 4.8624 - acc: 0.0122 - ETA: 1s - loss: 4.8623 - acc: 0.0121 - ETA: 1s - loss: 4.8618 - acc: 0.0121 - ETA: 0s - loss: 4.8616 - acc: 0.0122 - ETA: 0s - loss: 4.8617 - acc: 0.0122 - ETA: 0s - loss: 4.8619 - acc: 0.0121 - ETA: 0s - loss: 4.8620 - acc: 0.0121 - ETA: 0s - loss: 4.8618 - acc: 0.0120 - ETA: 0s - loss: 4.8619 - acc: 0.0120Epoch 00002: val_loss improved from 4.86974 to 4.82420, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.8616 - acc: 0.0120 - val_loss: 4.8242 - val_acc: 0.0192 Epoch 4/40 6660/6680 [============================>.] - ETA: 43s - loss: 4.8596 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8206 - acc: 0.0000e+00 - ETA: 46s - loss: 4.8202 - acc: 0.0167 - ETA: 46s - loss: 4.7880 - acc: 0.0250 - ETA: 46s - loss: 4.7760 - acc: 0.0300 - ETA: 46s - loss: 4.7888 - acc: 0.0250 - ETA: 46s - loss: 4.8036 - acc: 0.0214 - ETA: 46s - loss: 4.7950 - acc: 0.0375 - ETA: 46s - loss: 4.7768 - acc: 0.0389 - ETA: 46s - loss: 4.7379 - acc: 0.0350 - ETA: 46s - loss: 4.8259 - acc: 0.0318 - ETA: 46s - loss: 4.8224 - acc: 0.0292 - ETA: 47s - loss: 4.8175 - acc: 0.0269 - ETA: 46s - loss: 4.8232 - acc: 0.0250 - ETA: 46s - loss: 4.8212 - acc: 0.0233 - ETA: 46s - loss: 4.8289 - acc: 0.0219 - ETA: 46s - loss: 4.8196 - acc: 0.0235 - ETA: 46s - loss: 4.8178 - acc: 0.0222 - ETA: 45s - loss: 4.8219 - acc: 0.0211 - ETA: 45s - loss: 4.8202 - acc: 0.0225 - ETA: 45s - loss: 4.8207 - acc: 0.0214 - ETA: 45s - loss: 4.8201 - acc: 0.0205 - ETA: 45s - loss: 4.8187 - acc: 0.0196 - ETA: 45s - loss: 4.8286 - acc: 0.0188 - ETA: 45s - loss: 4.8257 - acc: 0.0180 - ETA: 45s - loss: 4.8263 - acc: 0.0192 - ETA: 44s - loss: 4.8286 - acc: 0.0185 - ETA: 44s - loss: 4.8263 - acc: 0.0179 - ETA: 44s - loss: 4.8234 - acc: 0.0172 - ETA: 44s - loss: 4.8208 - acc: 0.0167 - ETA: 44s - loss: 4.8157 - acc: 0.0177 - ETA: 43s - loss: 4.8151 - acc: 0.0172 - ETA: 43s - loss: 4.8159 - acc: 0.0167 - ETA: 43s - loss: 4.8131 - acc: 0.0162 - ETA: 43s - loss: 4.8114 - acc: 0.0171 - ETA: 43s - loss: 4.8076 - acc: 0.0194 - ETA: 43s - loss: 4.8117 - acc: 0.0189 - ETA: 43s - loss: 4.8142 - acc: 0.0184 - ETA: 42s - loss: 4.8160 - acc: 0.0179 - ETA: 42s - loss: 4.8165 - acc: 0.0175 - ETA: 42s - loss: 4.8172 - acc: 0.0171 - ETA: 42s - loss: 4.8154 - acc: 0.0190 - ETA: 42s - loss: 4.8176 - acc: 0.0186 - ETA: 42s - loss: 4.8169 - acc: 0.0193 - ETA: 42s - loss: 4.8173 - acc: 0.0200 - ETA: 41s - loss: 4.8161 - acc: 0.0196 - ETA: 41s - loss: 4.8158 - acc: 0.0202 - ETA: 41s - loss: 4.8174 - acc: 0.0198 - ETA: 41s - loss: 4.8184 - acc: 0.0194 - ETA: 41s - loss: 4.8200 - acc: 0.0190 - ETA: 41s - loss: 4.8191 - acc: 0.0186 - ETA: 41s - loss: 4.8203 - acc: 0.0183 - ETA: 40s - loss: 4.8186 - acc: 0.0189 - ETA: 40s - loss: 4.8189 - acc: 0.0185 - ETA: 40s - loss: 4.8181 - acc: 0.0182 - ETA: 40s - loss: 4.8218 - acc: 0.0179 - ETA: 40s - loss: 4.8227 - acc: 0.0175 - ETA: 40s - loss: 4.8225 - acc: 0.0172 - ETA: 40s - loss: 4.8209 - acc: 0.0178 - ETA: 39s - loss: 4.8222 - acc: 0.0175 - ETA: 39s - loss: 4.8220 - acc: 0.0180 - ETA: 39s - loss: 4.8210 - acc: 0.0185 - ETA: 39s - loss: 4.8224 - acc: 0.0190 - ETA: 39s - loss: 4.8220 - acc: 0.0195 - ETA: 39s - loss: 4.8209 - acc: 0.0200 - ETA: 39s - loss: 4.8189 - acc: 0.0197 - ETA: 38s - loss: 4.8186 - acc: 0.0194 - ETA: 38s - loss: 4.8196 - acc: 0.0191 - ETA: 38s - loss: 4.8185 - acc: 0.0188 - ETA: 38s - loss: 4.8186 - acc: 0.0186 - ETA: 38s - loss: 4.8190 - acc: 0.0183 - ETA: 38s - loss: 4.8198 - acc: 0.0181 - ETA: 38s - loss: 4.8213 - acc: 0.0178 - ETA: 37s - loss: 4.8239 - acc: 0.0176 - ETA: 37s - loss: 4.8244 - acc: 0.0173 - ETA: 37s - loss: 4.8242 - acc: 0.0178 - ETA: 37s - loss: 4.8259 - acc: 0.0175 - ETA: 37s - loss: 4.8258 - acc: 0.0179 - ETA: 37s - loss: 4.8257 - acc: 0.0177 - ETA: 36s - loss: 4.8257 - acc: 0.0175 - ETA: 36s - loss: 4.8247 - acc: 0.0173 - ETA: 36s - loss: 4.8246 - acc: 0.0171 - ETA: 36s - loss: 4.8245 - acc: 0.0175 - ETA: 36s - loss: 4.8252 - acc: 0.0173 - ETA: 36s - loss: 4.8242 - acc: 0.0171 - ETA: 36s - loss: 4.8242 - acc: 0.0169 - ETA: 35s - loss: 4.8253 - acc: 0.0167 - ETA: 35s - loss: 4.8247 - acc: 0.0165 - ETA: 35s - loss: 4.8252 - acc: 0.0169 - ETA: 35s - loss: 4.8258 - acc: 0.0167 - ETA: 35s - loss: 4.8238 - acc: 0.0165 - ETA: 35s - loss: 4.8220 - acc: 0.0163 - ETA: 35s - loss: 4.8223 - acc: 0.0167 - ETA: 34s - loss: 4.8219 - acc: 0.0165 - ETA: 34s - loss: 4.8237 - acc: 0.0168 - ETA: 34s - loss: 4.8232 - acc: 0.0167 - ETA: 34s - loss: 4.8227 - acc: 0.0165 - ETA: 34s - loss: 4.8244 - acc: 0.0163 - ETA: 34s - loss: 4.8250 - acc: 0.0162 - ETA: 33s - loss: 4.8254 - acc: 0.0160 - ETA: 33s - loss: 4.8265 - acc: 0.0158 - ETA: 33s - loss: 4.8276 - acc: 0.0157 - ETA: 33s - loss: 4.8268 - acc: 0.0165 - ETA: 33s - loss: 4.8271 - acc: 0.0163 - ETA: 33s - loss: 4.8272 - acc: 0.0162 - ETA: 33s - loss: 4.8269 - acc: 0.0160 - ETA: 32s - loss: 4.8265 - acc: 0.0159 - ETA: 32s - loss: 4.8262 - acc: 0.0157 - ETA: 32s - loss: 4.8246 - acc: 0.0156 - ETA: 32s - loss: 4.8255 - acc: 0.0155 - ETA: 32s - loss: 4.8255 - acc: 0.0153 - ETA: 32s - loss: 4.8263 - acc: 0.0152 - ETA: 32s - loss: 4.8264 - acc: 0.0155 - ETA: 31s - loss: 4.8262 - acc: 0.0154 - ETA: 31s - loss: 4.8266 - acc: 0.0152 - ETA: 31s - loss: 4.8265 - acc: 0.0155 - ETA: 31s - loss: 4.8258 - acc: 0.0162 - ETA: 31s - loss: 4.8255 - acc: 0.0165 - ETA: 31s - loss: 4.8286 - acc: 0.0164 - ETA: 31s - loss: 4.8287 - acc: 0.0163 - ETA: 30s - loss: 4.8283 - acc: 0.0161 - ETA: 30s - loss: 4.8280 - acc: 0.0160 - ETA: 30s - loss: 4.8279 - acc: 0.0159 - ETA: 30s - loss: 4.8274 - acc: 0.0157 - ETA: 30s - loss: 4.8266 - acc: 0.0160 - ETA: 30s - loss: 4.8244 - acc: 0.0159 - ETA: 30s - loss: 4.8220 - acc: 0.0161 - ETA: 29s - loss: 4.8245 - acc: 0.0160 - ETA: 29s - loss: 4.8244 - acc: 0.0159 - ETA: 29s - loss: 4.8242 - acc: 0.0158 - ETA: 29s - loss: 4.8232 - acc: 0.0160 - ETA: 29s - loss: 4.8221 - acc: 0.0159 - ETA: 29s - loss: 4.8216 - acc: 0.0158 - ETA: 29s - loss: 4.8222 - acc: 0.0157 - ETA: 28s - loss: 4.8220 - acc: 0.0156 - ETA: 28s - loss: 4.8219 - acc: 0.0154 - ETA: 28s - loss: 4.8215 - acc: 0.0153 - ETA: 28s - loss: 4.8193 - acc: 0.0152 - ETA: 28s - loss: 4.8194 - acc: 0.0151 - ETA: 28s - loss: 4.8187 - acc: 0.0150 - ETA: 27s - loss: 4.8165 - acc: 0.0149 - ETA: 27s - loss: 4.8160 - acc: 0.0148 - ETA: 27s - loss: 4.8155 - acc: 0.0150 - ETA: 27s - loss: 4.8164 - acc: 0.0153 - ETA: 27s - loss: 4.8156 - acc: 0.0155 - ETA: 27s - loss: 4.8154 - acc: 0.0154 - ETA: 27s - loss: 4.8156 - acc: 0.0153 - ETA: 26s - loss: 4.8158 - acc: 0.0152 - ETA: 26s - loss: 4.8164 - acc: 0.0151 - ETA: 26s - loss: 4.8162 - acc: 0.0150 - ETA: 26s - loss: 4.8142 - acc: 0.0152 - ETA: 26s - loss: 4.8138 - acc: 0.0155 - ETA: 26s - loss: 4.8129 - acc: 0.0157 - ETA: 26s - loss: 4.8111 - acc: 0.0156 - ETA: 25s - loss: 4.8123 - acc: 0.0155 - ETA: 25s - loss: 4.8122 - acc: 0.0154 - ETA: 25s - loss: 4.8128 - acc: 0.0153 - ETA: 25s - loss: 4.8129 - acc: 0.0152 - ETA: 25s - loss: 4.8124 - acc: 0.0151 - ETA: 25s - loss: 4.8121 - acc: 0.0153 - ETA: 25s - loss: 4.8126 - acc: 0.0152 - ETA: 24s - loss: 4.8108 - acc: 0.0151 - ETA: 24s - loss: 4.8107 - acc: 0.0150 - ETA: 24s - loss: 4.8102 - acc: 0.0152 - ETA: 24s - loss: 4.8101 - acc: 0.0155 - ETA: 24s - loss: 4.8097 - acc: 0.0157 - ETA: 24s - loss: 4.8090 - acc: 0.0156 - ETA: 24s - loss: 4.8079 - acc: 0.0158 - ETA: 23s - loss: 4.8075 - acc: 0.0157 - ETA: 23s - loss: 4.8073 - acc: 0.0156 - ETA: 23s - loss: 4.8078 - acc: 0.0155 - ETA: 23s - loss: 4.8081 - acc: 0.0154 - ETA: 23s - loss: 4.8081 - acc: 0.0153 - ETA: 23s - loss: 4.8073 - acc: 0.0155 - ETA: 23s - loss: 4.8085 - acc: 0.0154 - ETA: 22s - loss: 4.8085 - acc: 0.0156 - ETA: 22s - loss: 4.8079 - acc: 0.0155 - ETA: 22s - loss: 4.8069 - acc: 0.0160 - ETA: 22s - loss: 4.8076 - acc: 0.0159 - ETA: 22s - loss: 4.8076 - acc: 0.0158 - ETA: 22s - loss: 4.8075 - acc: 0.0157 - ETA: 22s - loss: 4.8086 - acc: 0.0157 - ETA: 21s - loss: 4.8091 - acc: 0.0156 - ETA: 21s - loss: 4.8095 - acc: 0.0155 - ETA: 21s - loss: 4.8095 - acc: 0.0154 - ETA: 21s - loss: 4.8097 - acc: 0.0156 - ETA: 21s - loss: 4.8095 - acc: 0.0155 - ETA: 21s - loss: 4.8089 - acc: 0.0157 - ETA: 20s - loss: 4.8077 - acc: 0.0161 - ETA: 20s - loss: 4.8082 - acc: 0.0161 - ETA: 20s - loss: 4.8085 - acc: 0.0162 - ETA: 20s - loss: 4.8081 - acc: 0.0161 - ETA: 20s - loss: 4.8082 - acc: 0.0161 - ETA: 20s - loss: 4.8070 - acc: 0.0160 - ETA: 20s - loss: 4.8066 - acc: 0.0159 - ETA: 19s - loss: 4.8068 - acc: 0.0158 - ETA: 19s - loss: 4.8059 - acc: 0.0157 - ETA: 19s - loss: 4.8067 - acc: 0.0157 - ETA: 19s - loss: 4.8069 - acc: 0.0156 - ETA: 19s - loss: 4.8067 - acc: 0.0155 - ETA: 19s - loss: 4.8070 - acc: 0.0154 - ETA: 19s - loss: 4.8068 - acc: 0.0156 - ETA: 18s - loss: 4.8064 - acc: 0.0160 - ETA: 18s - loss: 4.8066 - acc: 0.0159 - ETA: 18s - loss: 4.8077 - acc: 0.0159 - ETA: 18s - loss: 4.8073 - acc: 0.0158 - ETA: 18s - loss: 4.8080 - acc: 0.0157 - ETA: 18s - loss: 4.8082 - acc: 0.0159 - ETA: 18s - loss: 4.8072 - acc: 0.0158 - ETA: 17s - loss: 4.8065 - acc: 0.0157 - ETA: 17s - loss: 4.8060 - acc: 0.0159 - ETA: 17s - loss: 4.8051 - acc: 0.0160 - ETA: 17s - loss: 4.8049 - acc: 0.0160 - ETA: 17s - loss: 4.8045 - acc: 0.0164 - ETA: 17s - loss: 4.8035 - acc: 0.0163 - ETA: 17s - loss: 4.8033 - acc: 0.0162 - ETA: 16s - loss: 4.8029 - acc: 0.0161 - ETA: 16s - loss: 4.8024 - acc: 0.0161 - ETA: 16s - loss: 4.8026 - acc: 0.0160 - ETA: 16s - loss: 4.8025 - acc: 0.0161 - ETA: 16s - loss: 4.8020 - acc: 0.0161 - ETA: 16s - loss: 4.8021 - acc: 0.0160 - ETA: 16s - loss: 4.8019 - acc: 0.0159 - ETA: 15s - loss: 4.8017 - acc: 0.0158 - ETA: 15s - loss: 4.8015 - acc: 0.0158 - ETA: 15s - loss: 4.8008 - acc: 0.0157 - ETA: 15s - loss: 4.7996 - acc: 0.0156 - ETA: 15s - loss: 4.8000 - acc: 0.0158 - ETA: 15s - loss: 4.8018 - acc: 0.0157 - ETA: 15s - loss: 4.8011 - acc: 0.0159 - ETA: 14s - loss: 4.8006 - acc: 0.0158 - ETA: 14s - loss: 4.8001 - acc: 0.0162 - ETA: 14s - loss: 4.7990 - acc: 0.0161 - ETA: 14s - loss: 4.7994 - acc: 0.0162 - ETA: 14s - loss: 4.7993 - acc: 0.0162 - ETA: 14s - loss: 4.7992 - acc: 0.0161 - ETA: 14s - loss: 4.7993 - acc: 0.0160 - ETA: 13s - loss: 4.7984 - acc: 0.0164 - ETA: 13s - loss: 4.7985 - acc: 0.0163 - ETA: 13s - loss: 4.7979 - acc: 0.0165 - ETA: 13s - loss: 4.7975 - acc: 0.0164 - ETA: 13s - loss: 4.7977 - acc: 0.0163 - ETA: 13s - loss: 4.7971 - acc: 0.0163 - ETA: 13s - loss: 4.7973 - acc: 0.0162 - ETA: 12s - loss: 4.7966 - acc: 0.0163 - ETA: 12s - loss: 4.7969 - acc: 0.0163 - ETA: 12s - loss: 4.7973 - acc: 0.0164 - ETA: 12s - loss: 4.7972 - acc: 0.0163 - ETA: 12s - loss: 4.7975 - acc: 0.0163 - ETA: 12s - loss: 4.7971 - acc: 0.0162 - ETA: 12s - loss: 4.7970 - acc: 0.0161 - ETA: 11s - loss: 4.7981 - acc: 0.0161 - ETA: 11s - loss: 4.7970 - acc: 0.0162 - ETA: 11s - loss: 4.7969 - acc: 0.0161 - ETA: 11s - loss: 4.7959 - acc: 0.0163 - ETA: 11s - loss: 4.7958 - acc: 0.0162 - ETA: 11s - loss: 4.7961 - acc: 0.0161 - ETA: 11s - loss: 4.7958 - acc: 0.0161 - ETA: 10s - loss: 4.7963 - acc: 0.0160 - ETA: 10s - loss: 4.7965 - acc: 0.0160 - ETA: 10s - loss: 4.7965 - acc: 0.0161 - ETA: 10s - loss: 4.7961 - acc: 0.0160 - ETA: 10s - loss: 4.7954 - acc: 0.0162 - ETA: 10s - loss: 4.7958 - acc: 0.0161 - ETA: 10s - loss: 4.7954 - acc: 0.0160 - ETA: 9s - loss: 4.7956 - acc: 0.0160 - ETA: 9s - loss: 4.7953 - acc: 0.0159 - ETA: 9s - loss: 4.7956 - acc: 0.0159 - ETA: 9s - loss: 4.7958 - acc: 0.0160 - ETA: 9s - loss: 4.7951 - acc: 0.0159 - ETA: 9s - loss: 4.7949 - acc: 0.0159 - ETA: 8s - loss: 4.7949 - acc: 0.0158 - ETA: 8s - loss: 4.7953 - acc: 0.0158 - ETA: 8s - loss: 4.7948 - acc: 0.0157 - ETA: 8s - loss: 4.7954 - acc: 0.0156 - ETA: 8s - loss: 4.7952 - acc: 0.0156 - ETA: 8s - loss: 4.7954 - acc: 0.0155 - ETA: 8s - loss: 4.7952 - acc: 0.0155 - ETA: 7s - loss: 4.7945 - acc: 0.0156 - ETA: 7s - loss: 4.7949 - acc: 0.0157 - ETA: 7s - loss: 4.7947 - acc: 0.0157 - ETA: 7s - loss: 4.7941 - acc: 0.0158 - ETA: 7s - loss: 4.7937 - acc: 0.0159 - ETA: 7s - loss: 4.7948 - acc: 0.0158 - ETA: 7s - loss: 4.7947 - acc: 0.0158 - ETA: 6s - loss: 4.7940 - acc: 0.0159 - ETA: 6s - loss: 4.7940 - acc: 0.0159 - ETA: 6s - loss: 4.7928 - acc: 0.0158 - ETA: 6s - loss: 4.7925 - acc: 0.0157 - ETA: 6s - loss: 4.7923 - acc: 0.0157 - ETA: 6s - loss: 4.7923 - acc: 0.0156 - ETA: 6s - loss: 4.7922 - acc: 0.0156 - ETA: 5s - loss: 4.7912 - acc: 0.0159 - ETA: 5s - loss: 4.7918 - acc: 0.0158 - ETA: 5s - loss: 4.7917 - acc: 0.0158 - ETA: 5s - loss: 4.7920 - acc: 0.0157 - ETA: 5s - loss: 4.7919 - acc: 0.0162 - ETA: 5s - loss: 4.7920 - acc: 0.0161 - ETA: 5s - loss: 4.7919 - acc: 0.0162 - ETA: 4s - loss: 4.7919 - acc: 0.0162 - ETA: 4s - loss: 4.7916 - acc: 0.0161 - ETA: 4s - loss: 4.7912 - acc: 0.0161 - ETA: 4s - loss: 4.7924 - acc: 0.0160 - ETA: 4s - loss: 4.7928 - acc: 0.0160 - ETA: 4s - loss: 4.7932 - acc: 0.0159 - ETA: 4s - loss: 4.7933 - acc: 0.0160 - ETA: 3s - loss: 4.7932 - acc: 0.0161 - ETA: 3s - loss: 4.7934 - acc: 0.0161 - ETA: 3s - loss: 4.7933 - acc: 0.0160 - ETA: 3s - loss: 4.7924 - acc: 0.0161 - ETA: 3s - loss: 4.7926 - acc: 0.0162 - ETA: 3s - loss: 4.7927 - acc: 0.0162 - ETA: 3s - loss: 4.7923 - acc: 0.0161 - ETA: 2s - loss: 4.7921 - acc: 0.0162 - ETA: 2s - loss: 4.7919 - acc: 0.0163 - ETA: 2s - loss: 4.7918 - acc: 0.0165 - ETA: 2s - loss: 4.7917 - acc: 0.0164 - ETA: 2s - loss: 4.7913 - acc: 0.0164 - ETA: 2s - loss: 4.7912 - acc: 0.0163 - ETA: 2s - loss: 4.7906 - acc: 0.0163 - ETA: 1s - loss: 4.7902 - acc: 0.0164 - ETA: 1s - loss: 4.7930 - acc: 0.0163 - ETA: 1s - loss: 4.7929 - acc: 0.0163 - ETA: 1s - loss: 4.7928 - acc: 0.0162 - ETA: 1s - loss: 4.7923 - acc: 0.0163 - ETA: 1s - loss: 4.7923 - acc: 0.0163 - ETA: 1s - loss: 4.7926 - acc: 0.0162 - ETA: 0s - loss: 4.7921 - acc: 0.0163 - ETA: 0s - loss: 4.7918 - acc: 0.0164 - ETA: 0s - loss: 4.7913 - acc: 0.0164 - ETA: 0s - loss: 4.7910 - acc: 0.0163 - ETA: 0s - loss: 4.7910 - acc: 0.0163 - ETA: 0s - loss: 4.7911 - acc: 0.0162Epoch 00003: val_loss improved from 4.82420 to 4.74321, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.7908 - acc: 0.0165 - val_loss: 4.7432 - val_acc: 0.0204 Epoch 5/40 6660/6680 [============================>.] - ETA: 49s - loss: 4.7604 - acc: 0.0500 - ETA: 47s - loss: 4.7220 - acc: 0.0250 - ETA: 47s - loss: 4.6900 - acc: 0.0333 - ETA: 47s - loss: 4.7353 - acc: 0.0375 - ETA: 47s - loss: 4.7748 - acc: 0.0300 - ETA: 47s - loss: 4.7562 - acc: 0.0250 - ETA: 46s - loss: 4.7493 - acc: 0.0357 - ETA: 46s - loss: 4.7265 - acc: 0.0313 - ETA: 46s - loss: 4.7339 - acc: 0.0278 - ETA: 46s - loss: 4.7354 - acc: 0.0300 - ETA: 46s - loss: 4.7341 - acc: 0.0273 - ETA: 46s - loss: 4.7385 - acc: 0.0250 - ETA: 46s - loss: 4.7448 - acc: 0.0231 - ETA: 46s - loss: 4.7443 - acc: 0.0250 - ETA: 46s - loss: 4.7395 - acc: 0.0267 - ETA: 46s - loss: 4.7303 - acc: 0.0281 - ETA: 46s - loss: 4.7355 - acc: 0.0265 - ETA: 45s - loss: 4.7307 - acc: 0.0278 - ETA: 45s - loss: 4.7285 - acc: 0.0263 - ETA: 45s - loss: 4.7173 - acc: 0.0250 - ETA: 45s - loss: 4.7260 - acc: 0.0238 - ETA: 45s - loss: 4.7293 - acc: 0.0227 - ETA: 45s - loss: 4.7318 - acc: 0.0217 - ETA: 44s - loss: 4.7296 - acc: 0.0229 - ETA: 44s - loss: 4.7272 - acc: 0.0260 - ETA: 44s - loss: 4.7362 - acc: 0.0250 - ETA: 44s - loss: 4.7375 - acc: 0.0241 - ETA: 44s - loss: 4.7311 - acc: 0.0250 - ETA: 44s - loss: 4.7311 - acc: 0.0259 - ETA: 44s - loss: 4.7286 - acc: 0.0267 - ETA: 44s - loss: 4.7272 - acc: 0.0258 - ETA: 43s - loss: 4.7272 - acc: 0.0250 - ETA: 43s - loss: 4.7328 - acc: 0.0242 - ETA: 43s - loss: 4.7321 - acc: 0.0235 - ETA: 43s - loss: 4.7311 - acc: 0.0229 - ETA: 43s - loss: 4.7319 - acc: 0.0222 - ETA: 43s - loss: 4.7351 - acc: 0.0216 - ETA: 42s - loss: 4.7367 - acc: 0.0211 - ETA: 42s - loss: 4.7356 - acc: 0.0218 - ETA: 42s - loss: 4.7313 - acc: 0.0225 - ETA: 42s - loss: 4.7298 - acc: 0.0232 - ETA: 42s - loss: 4.7279 - acc: 0.0226 - ETA: 42s - loss: 4.7267 - acc: 0.0221 - ETA: 41s - loss: 4.7310 - acc: 0.0216 - ETA: 41s - loss: 4.7355 - acc: 0.0211 - ETA: 41s - loss: 4.7375 - acc: 0.0207 - ETA: 41s - loss: 4.7380 - acc: 0.0202 - ETA: 41s - loss: 4.7397 - acc: 0.0198 - ETA: 41s - loss: 4.7401 - acc: 0.0194 - ETA: 41s - loss: 4.7383 - acc: 0.0190 - ETA: 40s - loss: 4.7405 - acc: 0.0186 - ETA: 40s - loss: 4.7391 - acc: 0.0192 - ETA: 40s - loss: 4.7411 - acc: 0.0189 - ETA: 40s - loss: 4.7403 - acc: 0.0185 - ETA: 40s - loss: 4.7422 - acc: 0.0182 - ETA: 40s - loss: 4.7426 - acc: 0.0179 - ETA: 40s - loss: 4.7455 - acc: 0.0184 - ETA: 39s - loss: 4.7447 - acc: 0.0181 - ETA: 39s - loss: 4.7450 - acc: 0.0186 - ETA: 39s - loss: 4.7428 - acc: 0.0183 - ETA: 39s - loss: 4.7404 - acc: 0.0180 - ETA: 39s - loss: 4.7401 - acc: 0.0177 - ETA: 39s - loss: 4.7402 - acc: 0.0175 - ETA: 39s - loss: 4.7361 - acc: 0.0180 - ETA: 38s - loss: 4.7379 - acc: 0.0177 - ETA: 38s - loss: 4.7375 - acc: 0.0174 - ETA: 38s - loss: 4.7344 - acc: 0.0172 - ETA: 38s - loss: 4.7377 - acc: 0.0169 - ETA: 38s - loss: 4.7358 - acc: 0.0174 - ETA: 38s - loss: 4.7371 - acc: 0.0171 - ETA: 38s - loss: 4.7336 - acc: 0.0176 - ETA: 37s - loss: 4.7318 - acc: 0.0174 - ETA: 37s - loss: 4.7336 - acc: 0.0171 - ETA: 37s - loss: 4.7328 - acc: 0.0169 - ETA: 37s - loss: 4.7322 - acc: 0.0173 - ETA: 37s - loss: 4.7298 - acc: 0.0178 - ETA: 37s - loss: 4.7315 - acc: 0.0175 - ETA: 37s - loss: 4.7313 - acc: 0.0173 - ETA: 36s - loss: 4.7322 - acc: 0.0171 - ETA: 36s - loss: 4.7308 - acc: 0.0169 - ETA: 36s - loss: 4.7312 - acc: 0.0167 - ETA: 36s - loss: 4.7294 - acc: 0.0171 - ETA: 36s - loss: 4.7274 - acc: 0.0175 - ETA: 36s - loss: 4.7297 - acc: 0.0173 - ETA: 36s - loss: 4.7302 - acc: 0.0171 - ETA: 35s - loss: 4.7287 - acc: 0.0169 - ETA: 35s - loss: 4.7290 - acc: 0.0167 - ETA: 35s - loss: 4.7285 - acc: 0.0165 - ETA: 35s - loss: 4.7298 - acc: 0.0163 - ETA: 35s - loss: 4.7300 - acc: 0.0161 - ETA: 35s - loss: 4.7295 - acc: 0.0159 - ETA: 35s - loss: 4.7284 - acc: 0.0158 - ETA: 34s - loss: 4.7291 - acc: 0.0156 - ETA: 34s - loss: 4.7300 - acc: 0.0160 - ETA: 34s - loss: 4.7295 - acc: 0.0158 - ETA: 34s - loss: 4.7295 - acc: 0.0167 - ETA: 34s - loss: 4.7316 - acc: 0.0165 - ETA: 34s - loss: 4.7310 - acc: 0.0163 - ETA: 34s - loss: 4.7314 - acc: 0.0162 - ETA: 33s - loss: 4.7326 - acc: 0.0160 - ETA: 33s - loss: 4.7302 - acc: 0.0163 - ETA: 33s - loss: 4.7302 - acc: 0.0162 - ETA: 33s - loss: 4.7322 - acc: 0.0160 - ETA: 33s - loss: 4.7316 - acc: 0.0163 - ETA: 33s - loss: 4.7312 - acc: 0.0167 - ETA: 33s - loss: 4.7311 - acc: 0.0170 - ETA: 32s - loss: 4.7326 - acc: 0.0168 - ETA: 32s - loss: 4.7317 - acc: 0.0167 - ETA: 32s - loss: 4.7319 - acc: 0.0165 - ETA: 32s - loss: 4.7326 - acc: 0.0164 - ETA: 32s - loss: 4.7333 - acc: 0.0171 - ETA: 32s - loss: 4.7332 - acc: 0.0170 - ETA: 32s - loss: 4.7339 - acc: 0.0168 - ETA: 31s - loss: 4.7344 - acc: 0.0167 - ETA: 31s - loss: 4.7339 - acc: 0.0170 - ETA: 31s - loss: 4.7337 - acc: 0.0172 - ETA: 31s - loss: 4.7329 - acc: 0.0171 - ETA: 31s - loss: 4.7330 - acc: 0.0174 - ETA: 31s - loss: 4.7311 - acc: 0.0176 - ETA: 31s - loss: 4.7311 - acc: 0.0179 - ETA: 30s - loss: 4.7308 - acc: 0.0182 - ETA: 30s - loss: 4.7300 - acc: 0.0184 - ETA: 30s - loss: 4.7312 - acc: 0.0183 - ETA: 30s - loss: 4.7319 - acc: 0.0181 - ETA: 30s - loss: 4.7312 - acc: 0.0188 - ETA: 30s - loss: 4.7292 - acc: 0.0187 - ETA: 30s - loss: 4.7294 - acc: 0.0189 - ETA: 29s - loss: 4.7286 - acc: 0.0188 - ETA: 29s - loss: 4.7288 - acc: 0.0190 - ETA: 29s - loss: 4.7288 - acc: 0.0188 - ETA: 29s - loss: 4.7287 - acc: 0.0187 - ETA: 29s - loss: 4.7272 - acc: 0.0189 - ETA: 29s - loss: 4.7261 - acc: 0.0188 - ETA: 29s - loss: 4.7285 - acc: 0.0187 - ETA: 28s - loss: 4.7255 - acc: 0.0193 - ETA: 28s - loss: 4.7231 - acc: 0.0199 - ETA: 28s - loss: 4.7232 - acc: 0.0201 - ETA: 28s - loss: 4.7248 - acc: 0.0199 - ETA: 28s - loss: 4.7255 - acc: 0.0198 - ETA: 28s - loss: 4.7253 - acc: 0.0196 - ETA: 28s - loss: 4.7254 - acc: 0.0195 - ETA: 27s - loss: 4.7266 - acc: 0.0194 - ETA: 27s - loss: 4.7263 - acc: 0.0192 - ETA: 27s - loss: 4.7265 - acc: 0.0191 - ETA: 27s - loss: 4.7265 - acc: 0.0190 - ETA: 27s - loss: 4.7271 - acc: 0.0188 - ETA: 27s - loss: 4.7256 - acc: 0.0187 - ETA: 26s - loss: 4.7248 - acc: 0.0186 - ETA: 26s - loss: 4.7227 - acc: 0.0185 - ETA: 26s - loss: 4.7233 - acc: 0.0183 - ETA: 26s - loss: 4.7230 - acc: 0.0185 - ETA: 26s - loss: 4.7233 - acc: 0.0184 - ETA: 26s - loss: 4.7240 - acc: 0.0183 - ETA: 26s - loss: 4.7224 - acc: 0.0182 - ETA: 25s - loss: 4.7211 - acc: 0.0184 - ETA: 25s - loss: 4.7212 - acc: 0.0186 - ETA: 25s - loss: 4.7202 - acc: 0.0188 - ETA: 25s - loss: 4.7194 - acc: 0.0190 - ETA: 25s - loss: 4.7199 - acc: 0.0189 - ETA: 25s - loss: 4.7212 - acc: 0.0188 - ETA: 25s - loss: 4.7201 - acc: 0.0189 - ETA: 25s - loss: 4.7218 - acc: 0.0188 - ETA: 24s - loss: 4.7219 - acc: 0.0187 - ETA: 24s - loss: 4.7226 - acc: 0.0186 - ETA: 24s - loss: 4.7217 - acc: 0.0185 - ETA: 24s - loss: 4.7220 - acc: 0.0184 - ETA: 24s - loss: 4.7212 - acc: 0.0183 - ETA: 24s - loss: 4.7217 - acc: 0.0182 - ETA: 23s - loss: 4.7207 - acc: 0.0180 - ETA: 23s - loss: 4.7199 - acc: 0.0182 - ETA: 23s - loss: 4.7198 - acc: 0.0184 - ETA: 23s - loss: 4.7192 - acc: 0.0186 - ETA: 23s - loss: 4.7200 - acc: 0.0185 - ETA: 23s - loss: 4.7194 - acc: 0.0184 - ETA: 23s - loss: 4.7194 - acc: 0.0183 - ETA: 22s - loss: 4.7198 - acc: 0.0182 - ETA: 22s - loss: 4.7188 - acc: 0.0181 - ETA: 22s - loss: 4.7182 - acc: 0.0183 - ETA: 22s - loss: 4.7181 - acc: 0.0182 - ETA: 22s - loss: 4.7190 - acc: 0.0181 - ETA: 22s - loss: 4.7176 - acc: 0.0180 - ETA: 22s - loss: 4.7170 - acc: 0.0181 - ETA: 21s - loss: 4.7174 - acc: 0.0180 - ETA: 21s - loss: 4.7177 - acc: 0.0179 - ETA: 21s - loss: 4.7181 - acc: 0.0178 - ETA: 21s - loss: 4.7181 - acc: 0.0177 - ETA: 21s - loss: 4.7164 - acc: 0.0176 - ETA: 21s - loss: 4.7166 - acc: 0.0176 - ETA: 21s - loss: 4.7164 - acc: 0.0177 - ETA: 20s - loss: 4.7161 - acc: 0.0176 - ETA: 20s - loss: 4.7154 - acc: 0.0175 - ETA: 20s - loss: 4.7158 - acc: 0.0177 - ETA: 20s - loss: 4.7162 - acc: 0.0176 - ETA: 20s - loss: 4.7165 - acc: 0.0175 - ETA: 20s - loss: 4.7174 - acc: 0.0177 - ETA: 20s - loss: 4.7177 - acc: 0.0176 - ETA: 19s - loss: 4.7182 - acc: 0.0175 - ETA: 19s - loss: 4.7181 - acc: 0.0174 - ETA: 19s - loss: 4.7179 - acc: 0.0178 - ETA: 19s - loss: 4.7201 - acc: 0.0178 - ETA: 19s - loss: 4.7207 - acc: 0.0179 - ETA: 19s - loss: 4.7210 - acc: 0.0181 - ETA: 19s - loss: 4.7211 - acc: 0.0180 - ETA: 18s - loss: 4.7202 - acc: 0.0181 - ETA: 18s - loss: 4.7201 - acc: 0.0180 - ETA: 18s - loss: 4.7204 - acc: 0.0180 - ETA: 18s - loss: 4.7195 - acc: 0.0179 - ETA: 18s - loss: 4.7186 - acc: 0.0180 - ETA: 18s - loss: 4.7193 - acc: 0.0182 - ETA: 18s - loss: 4.7193 - acc: 0.0186 - ETA: 17s - loss: 4.7191 - acc: 0.0187 - ETA: 17s - loss: 4.7196 - acc: 0.0189 - ETA: 17s - loss: 4.7206 - acc: 0.0188 - ETA: 17s - loss: 4.7206 - acc: 0.0187 - ETA: 17s - loss: 4.7198 - acc: 0.0186 - ETA: 17s - loss: 4.7213 - acc: 0.0185 - ETA: 17s - loss: 4.7216 - acc: 0.0184 - ETA: 16s - loss: 4.7206 - acc: 0.0186 - ETA: 16s - loss: 4.7206 - acc: 0.0187 - ETA: 16s - loss: 4.7199 - acc: 0.0186 - ETA: 16s - loss: 4.7200 - acc: 0.0186 - ETA: 16s - loss: 4.7204 - acc: 0.0187 - ETA: 16s - loss: 4.7216 - acc: 0.0186 - ETA: 16s - loss: 4.7212 - acc: 0.0188 - ETA: 15s - loss: 4.7210 - acc: 0.0187 - ETA: 15s - loss: 4.7216 - acc: 0.0186 - ETA: 15s - loss: 4.7216 - acc: 0.0185 - ETA: 15s - loss: 4.7210 - acc: 0.0184 - ETA: 15s - loss: 4.7212 - acc: 0.0183 - ETA: 15s - loss: 4.7220 - acc: 0.0185 - ETA: 14s - loss: 4.7217 - acc: 0.0184 - ETA: 14s - loss: 4.7213 - acc: 0.0185 - ETA: 14s - loss: 4.7205 - acc: 0.0185 - ETA: 14s - loss: 4.7200 - acc: 0.0184 - ETA: 14s - loss: 4.7193 - acc: 0.0183 - ETA: 14s - loss: 4.7196 - acc: 0.0182 - ETA: 14s - loss: 4.7197 - acc: 0.0181 - ETA: 13s - loss: 4.7195 - acc: 0.0181 - ETA: 13s - loss: 4.7199 - acc: 0.0180 - ETA: 13s - loss: 4.7205 - acc: 0.0179 - ETA: 13s - loss: 4.7202 - acc: 0.0178 - ETA: 13s - loss: 4.7197 - acc: 0.0178 - ETA: 13s - loss: 4.7194 - acc: 0.0179 - ETA: 13s - loss: 4.7186 - acc: 0.0180 - ETA: 12s - loss: 4.7191 - acc: 0.0180 - ETA: 12s - loss: 4.7196 - acc: 0.0179 - ETA: 12s - loss: 4.7191 - acc: 0.0178 - ETA: 12s - loss: 4.7183 - acc: 0.0177 - ETA: 12s - loss: 4.7185 - acc: 0.0179 - ETA: 12s - loss: 4.7188 - acc: 0.0178 - ETA: 12s - loss: 4.7192 - acc: 0.0177 - ETA: 11s - loss: 4.7184 - acc: 0.0179 - ETA: 11s - loss: 4.7170 - acc: 0.0178 - ETA: 11s - loss: 4.7179 - acc: 0.0177 - ETA: 11s - loss: 4.7179 - acc: 0.0176 - ETA: 11s - loss: 4.7188 - acc: 0.0176 - ETA: 11s - loss: 4.7197 - acc: 0.0175 - ETA: 11s - loss: 4.7195 - acc: 0.0174 - ETA: 10s - loss: 4.7190 - acc: 0.0174 - ETA: 10s - loss: 4.7195 - acc: 0.0173 - ETA: 10s - loss: 4.7193 - acc: 0.0174 - ETA: 10s - loss: 4.7186 - acc: 0.0174 - ETA: 10s - loss: 4.7187 - acc: 0.0175 - ETA: 10s - loss: 4.7188 - acc: 0.0174 - ETA: 10s - loss: 4.7193 - acc: 0.0174 - ETA: 9s - loss: 4.7192 - acc: 0.0173 - ETA: 9s - loss: 4.7194 - acc: 0.0172 - ETA: 9s - loss: 4.7201 - acc: 0.0172 - ETA: 9s - loss: 4.7198 - acc: 0.0175 - ETA: 9s - loss: 4.7193 - acc: 0.0176 - ETA: 9s - loss: 4.7201 - acc: 0.0175 - ETA: 9s - loss: 4.7201 - acc: 0.0175 - ETA: 8s - loss: 4.7203 - acc: 0.0174 - ETA: 8s - loss: 4.7200 - acc: 0.0173 - ETA: 8s - loss: 4.7194 - acc: 0.0175 - ETA: 8s - loss: 4.7198 - acc: 0.0174 - ETA: 8s - loss: 4.7200 - acc: 0.0175 - ETA: 8s - loss: 4.7206 - acc: 0.0174 - ETA: 8s - loss: 4.7215 - acc: 0.0174 - ETA: 7s - loss: 4.7215 - acc: 0.0175 - ETA: 7s - loss: 4.7212 - acc: 0.0174 - ETA: 7s - loss: 4.7205 - acc: 0.0177 - ETA: 7s - loss: 4.7209 - acc: 0.0177 - ETA: 7s - loss: 4.7210 - acc: 0.0176 - ETA: 7s - loss: 4.7214 - acc: 0.0175 - ETA: 6s - loss: 4.7205 - acc: 0.0177 - ETA: 6s - loss: 4.7239 - acc: 0.0176 - ETA: 6s - loss: 4.7232 - acc: 0.0175 - ETA: 6s - loss: 4.7239 - acc: 0.0176 - ETA: 6s - loss: 4.7237 - acc: 0.0176 - ETA: 6s - loss: 4.7232 - acc: 0.0175 - ETA: 6s - loss: 4.7226 - acc: 0.0176 - ETA: 5s - loss: 4.7221 - acc: 0.0176 - ETA: 5s - loss: 4.7214 - acc: 0.0175 - ETA: 5s - loss: 4.7206 - acc: 0.0175 - ETA: 5s - loss: 4.7210 - acc: 0.0176 - ETA: 5s - loss: 4.7218 - acc: 0.0175 - ETA: 5s - loss: 4.7214 - acc: 0.0174 - ETA: 5s - loss: 4.7219 - acc: 0.0176 - ETA: 4s - loss: 4.7210 - acc: 0.0177 - ETA: 4s - loss: 4.7214 - acc: 0.0176 - ETA: 4s - loss: 4.7216 - acc: 0.0175 - ETA: 4s - loss: 4.7220 - acc: 0.0177 - ETA: 4s - loss: 4.7223 - acc: 0.0176 - ETA: 4s - loss: 4.7219 - acc: 0.0175 - ETA: 4s - loss: 4.7223 - acc: 0.0175 - ETA: 3s - loss: 4.7215 - acc: 0.0176 - ETA: 3s - loss: 4.7211 - acc: 0.0182 - ETA: 3s - loss: 4.7210 - acc: 0.0181 - ETA: 3s - loss: 4.7215 - acc: 0.0182 - ETA: 3s - loss: 4.7215 - acc: 0.0183 - ETA: 3s - loss: 4.7215 - acc: 0.0183 - ETA: 3s - loss: 4.7219 - acc: 0.0182 - ETA: 2s - loss: 4.7218 - acc: 0.0183 - ETA: 2s - loss: 4.7216 - acc: 0.0183 - ETA: 2s - loss: 4.7210 - acc: 0.0184 - ETA: 2s - loss: 4.7206 - acc: 0.0186 - ETA: 2s - loss: 4.7202 - acc: 0.0187 - ETA: 2s - loss: 4.7203 - acc: 0.0188 - ETA: 2s - loss: 4.7203 - acc: 0.0188 - ETA: 1s - loss: 4.7194 - acc: 0.0188 - ETA: 1s - loss: 4.7199 - acc: 0.0189 - ETA: 1s - loss: 4.7198 - acc: 0.0189 - ETA: 1s - loss: 4.7200 - acc: 0.0188 - ETA: 1s - loss: 4.7201 - acc: 0.0188 - ETA: 1s - loss: 4.7209 - acc: 0.0187 - ETA: 1s - loss: 4.7216 - acc: 0.0187 - ETA: 0s - loss: 4.7217 - acc: 0.0186 - ETA: 0s - loss: 4.7214 - acc: 0.0185 - ETA: 0s - loss: 4.7213 - acc: 0.0186 - ETA: 0s - loss: 4.7213 - acc: 0.0186 - ETA: 0s - loss: 4.7215 - acc: 0.0185 - ETA: 0s - loss: 4.7208 - acc: 0.0185Epoch 00004: val_loss improved from 4.74321 to 4.66896, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.7204 - acc: 0.0184 - val_loss: 4.6690 - val_acc: 0.0216 Epoch 6/40 6660/6680 [============================>.] - ETA: 47s - loss: 4.3789 - acc: 0.0000e+00 - ETA: 47s - loss: 4.5277 - acc: 0.0000e+00 - ETA: 45s - loss: 4.5835 - acc: 0.0000e+00 - ETA: 47s - loss: 4.5683 - acc: 0.0000e+00 - ETA: 46s - loss: 4.6046 - acc: 0.0000e+00 - ETA: 46s - loss: 4.5790 - acc: 0.0083 - ETA: 46s - loss: 4.5541 - acc: 0.0143 - ETA: 46s - loss: 4.5850 - acc: 0.0125 - ETA: 45s - loss: 4.6015 - acc: 0.0111 - ETA: 45s - loss: 4.6266 - acc: 0.0100 - ETA: 45s - loss: 4.6203 - acc: 0.0136 - ETA: 46s - loss: 4.6195 - acc: 0.0125 - ETA: 45s - loss: 4.6205 - acc: 0.0154 - ETA: 45s - loss: 4.6259 - acc: 0.0143 - ETA: 45s - loss: 4.6371 - acc: 0.0133 - ETA: 46s - loss: 4.6611 - acc: 0.0125 - ETA: 45s - loss: 4.6586 - acc: 0.0118 - ETA: 45s - loss: 4.6446 - acc: 0.0250 - ETA: 45s - loss: 4.6379 - acc: 0.0289 - ETA: 45s - loss: 4.6426 - acc: 0.0275 - ETA: 45s - loss: 4.6466 - acc: 0.0262 - ETA: 45s - loss: 4.6468 - acc: 0.0250 - ETA: 44s - loss: 4.6414 - acc: 0.0261 - ETA: 44s - loss: 4.6352 - acc: 0.0292 - ETA: 44s - loss: 4.6445 - acc: 0.0300 - ETA: 44s - loss: 4.6505 - acc: 0.0308 - ETA: 44s - loss: 4.6581 - acc: 0.0296 - ETA: 44s - loss: 4.6632 - acc: 0.0304 - ETA: 44s - loss: 4.6592 - acc: 0.0293 - ETA: 44s - loss: 4.6598 - acc: 0.0300 - ETA: 43s - loss: 4.6597 - acc: 0.0290 - ETA: 43s - loss: 4.6587 - acc: 0.0281 - ETA: 43s - loss: 4.6584 - acc: 0.0273 - ETA: 43s - loss: 4.6623 - acc: 0.0265 - ETA: 43s - loss: 4.6650 - acc: 0.0271 - ETA: 43s - loss: 4.6625 - acc: 0.0264 - ETA: 43s - loss: 4.6623 - acc: 0.0270 - ETA: 43s - loss: 4.6614 - acc: 0.0263 - ETA: 42s - loss: 4.6648 - acc: 0.0256 - ETA: 42s - loss: 4.6630 - acc: 0.0263 - ETA: 42s - loss: 4.6726 - acc: 0.0256 - ETA: 42s - loss: 4.6721 - acc: 0.0262 - ETA: 42s - loss: 4.6728 - acc: 0.0256 - ETA: 42s - loss: 4.6733 - acc: 0.0250 - ETA: 42s - loss: 4.6728 - acc: 0.0244 - ETA: 42s - loss: 4.6735 - acc: 0.0239 - ETA: 41s - loss: 4.6753 - acc: 0.0245 - ETA: 41s - loss: 4.6708 - acc: 0.0240 - ETA: 41s - loss: 4.6737 - acc: 0.0235 - ETA: 41s - loss: 4.6751 - acc: 0.0240 - ETA: 41s - loss: 4.6722 - acc: 0.0245 - ETA: 41s - loss: 4.6716 - acc: 0.0240 - ETA: 41s - loss: 4.6713 - acc: 0.0236 - ETA: 40s - loss: 4.6711 - acc: 0.0241 - ETA: 40s - loss: 4.6737 - acc: 0.0236 - ETA: 40s - loss: 4.6769 - acc: 0.0241 - ETA: 40s - loss: 4.6773 - acc: 0.0237 - ETA: 40s - loss: 4.6777 - acc: 0.0233 - ETA: 40s - loss: 4.6759 - acc: 0.0229 - ETA: 39s - loss: 4.6764 - acc: 0.0233 - ETA: 39s - loss: 4.6749 - acc: 0.0238 - ETA: 39s - loss: 4.6725 - acc: 0.0242 - ETA: 39s - loss: 4.6694 - acc: 0.0246 - ETA: 39s - loss: 4.6684 - acc: 0.0242 - ETA: 39s - loss: 4.6683 - acc: 0.0238 - ETA: 39s - loss: 4.6714 - acc: 0.0235 - ETA: 39s - loss: 4.6693 - acc: 0.0231 - ETA: 39s - loss: 4.6704 - acc: 0.0228 - ETA: 38s - loss: 4.6705 - acc: 0.0225 - ETA: 38s - loss: 4.6681 - acc: 0.0221 - ETA: 38s - loss: 4.6657 - acc: 0.0218 - ETA: 38s - loss: 4.6654 - acc: 0.0229 - ETA: 38s - loss: 4.6652 - acc: 0.0226 - ETA: 38s - loss: 4.6659 - acc: 0.0223 - ETA: 38s - loss: 4.6667 - acc: 0.0220 - ETA: 37s - loss: 4.6682 - acc: 0.0224 - ETA: 37s - loss: 4.6663 - acc: 0.0221 - ETA: 37s - loss: 4.6662 - acc: 0.0218 - ETA: 37s - loss: 4.6628 - acc: 0.0215 - ETA: 37s - loss: 4.6630 - acc: 0.0213 - ETA: 37s - loss: 4.6630 - acc: 0.0216 - ETA: 36s - loss: 4.6613 - acc: 0.0226 - ETA: 36s - loss: 4.6626 - acc: 0.0229 - ETA: 36s - loss: 4.6618 - acc: 0.0226 - ETA: 36s - loss: 4.6601 - acc: 0.0224 - ETA: 36s - loss: 4.6606 - acc: 0.0221 - ETA: 36s - loss: 4.6619 - acc: 0.0218 - ETA: 36s - loss: 4.6626 - acc: 0.0227 - ETA: 35s - loss: 4.6630 - acc: 0.0225 - ETA: 35s - loss: 4.6618 - acc: 0.0222 - ETA: 35s - loss: 4.6642 - acc: 0.0220 - ETA: 35s - loss: 4.6641 - acc: 0.0223 - ETA: 35s - loss: 4.6629 - acc: 0.0220 - ETA: 35s - loss: 4.6615 - acc: 0.0218 - ETA: 35s - loss: 4.6639 - acc: 0.0216 - ETA: 34s - loss: 4.6651 - acc: 0.0219 - ETA: 34s - loss: 4.6640 - acc: 0.0216 - ETA: 34s - loss: 4.6648 - acc: 0.0214 - ETA: 34s - loss: 4.6654 - acc: 0.0212 - ETA: 34s - loss: 4.6672 - acc: 0.0215 - ETA: 34s - loss: 4.6662 - acc: 0.0218 - ETA: 34s - loss: 4.6643 - acc: 0.0225 - ETA: 33s - loss: 4.6646 - acc: 0.0223 - ETA: 33s - loss: 4.6641 - acc: 0.0221 - ETA: 33s - loss: 4.6646 - acc: 0.0219 - ETA: 33s - loss: 4.6654 - acc: 0.0217 - ETA: 33s - loss: 4.6653 - acc: 0.0215 - ETA: 33s - loss: 4.6677 - acc: 0.0218 - ETA: 32s - loss: 4.6664 - acc: 0.0216 - ETA: 32s - loss: 4.6672 - acc: 0.0214 - ETA: 32s - loss: 4.6661 - acc: 0.0221 - ETA: 32s - loss: 4.6661 - acc: 0.0219 - ETA: 32s - loss: 4.6663 - acc: 0.0217 - ETA: 32s - loss: 4.6658 - acc: 0.0215 - ETA: 32s - loss: 4.6636 - acc: 0.0217 - ETA: 31s - loss: 4.6619 - acc: 0.0216 - ETA: 31s - loss: 4.6611 - acc: 0.0218 - ETA: 31s - loss: 4.6608 - acc: 0.0220 - ETA: 31s - loss: 4.6596 - acc: 0.0218 - ETA: 31s - loss: 4.6578 - acc: 0.0221 - ETA: 31s - loss: 4.6596 - acc: 0.0219 - ETA: 31s - loss: 4.6609 - acc: 0.0217 - ETA: 30s - loss: 4.6612 - acc: 0.0215 - ETA: 30s - loss: 4.6596 - acc: 0.0214 - ETA: 30s - loss: 4.6575 - acc: 0.0212 - ETA: 30s - loss: 4.6580 - acc: 0.0210 - ETA: 30s - loss: 4.6584 - acc: 0.0209 - ETA: 30s - loss: 4.6588 - acc: 0.0211 - ETA: 29s - loss: 4.6572 - acc: 0.0209 - ETA: 29s - loss: 4.6588 - acc: 0.0208 - ETA: 29s - loss: 4.6589 - acc: 0.0206 - ETA: 29s - loss: 4.6590 - acc: 0.0205 - ETA: 29s - loss: 4.6606 - acc: 0.0203 - ETA: 29s - loss: 4.6623 - acc: 0.0201 - ETA: 29s - loss: 4.6621 - acc: 0.0200 - ETA: 28s - loss: 4.6627 - acc: 0.0202 - ETA: 28s - loss: 4.6609 - acc: 0.0204 - ETA: 28s - loss: 4.6595 - acc: 0.0203 - ETA: 28s - loss: 4.6600 - acc: 0.0201 - ETA: 28s - loss: 4.6582 - acc: 0.0200 - ETA: 28s - loss: 4.6584 - acc: 0.0202 - ETA: 28s - loss: 4.6587 - acc: 0.0201 - ETA: 27s - loss: 4.6590 - acc: 0.0199 - ETA: 27s - loss: 4.6576 - acc: 0.0198 - ETA: 27s - loss: 4.6577 - acc: 0.0203 - ETA: 27s - loss: 4.6572 - acc: 0.0205 - ETA: 27s - loss: 4.6595 - acc: 0.0204 - ETA: 27s - loss: 4.6619 - acc: 0.0206 - ETA: 27s - loss: 4.6611 - acc: 0.0211 - ETA: 26s - loss: 4.6602 - acc: 0.0210 - ETA: 26s - loss: 4.6600 - acc: 0.0209 - ETA: 26s - loss: 4.6604 - acc: 0.0211 - ETA: 26s - loss: 4.6597 - acc: 0.0212 - ETA: 26s - loss: 4.6597 - acc: 0.0214 - ETA: 26s - loss: 4.6616 - acc: 0.0213 - ETA: 25s - loss: 4.6607 - acc: 0.0221 - ETA: 25s - loss: 4.6614 - acc: 0.0220 - ETA: 25s - loss: 4.6626 - acc: 0.0218 - ETA: 25s - loss: 4.6611 - acc: 0.0217 - ETA: 25s - loss: 4.6626 - acc: 0.0219 - ETA: 25s - loss: 4.6627 - acc: 0.0220 - ETA: 25s - loss: 4.6626 - acc: 0.0219 - ETA: 24s - loss: 4.6632 - acc: 0.0221 - ETA: 24s - loss: 4.6626 - acc: 0.0226 - ETA: 24s - loss: 4.6615 - acc: 0.0227 - ETA: 24s - loss: 4.6609 - acc: 0.0226 - ETA: 24s - loss: 4.6604 - acc: 0.0228 - ETA: 24s - loss: 4.6597 - acc: 0.0229 - ETA: 24s - loss: 4.6600 - acc: 0.0228 - ETA: 23s - loss: 4.6611 - acc: 0.0226 - ETA: 23s - loss: 4.6613 - acc: 0.0228 - ETA: 23s - loss: 4.6614 - acc: 0.0227 - ETA: 23s - loss: 4.6613 - acc: 0.0225 - ETA: 23s - loss: 4.6609 - acc: 0.0224 - ETA: 23s - loss: 4.6603 - acc: 0.0226 - ETA: 23s - loss: 4.6617 - acc: 0.0227 - ETA: 22s - loss: 4.6614 - acc: 0.0229 - ETA: 22s - loss: 4.6607 - acc: 0.0228 - ETA: 22s - loss: 4.6596 - acc: 0.0226 - ETA: 22s - loss: 4.6612 - acc: 0.0225 - ETA: 22s - loss: 4.6616 - acc: 0.0227 - ETA: 22s - loss: 4.6615 - acc: 0.0225 - ETA: 22s - loss: 4.6628 - acc: 0.0224 - ETA: 21s - loss: 4.6637 - acc: 0.0223 - ETA: 21s - loss: 4.6639 - acc: 0.0222 - ETA: 21s - loss: 4.6640 - acc: 0.0223 - ETA: 21s - loss: 4.6652 - acc: 0.0222 - ETA: 21s - loss: 4.6648 - acc: 0.0221 - ETA: 21s - loss: 4.6647 - acc: 0.0220 - ETA: 21s - loss: 4.6645 - acc: 0.0221 - ETA: 20s - loss: 4.6650 - acc: 0.0220 - ETA: 20s - loss: 4.6662 - acc: 0.0219 - ETA: 20s - loss: 4.6658 - acc: 0.0218 - ETA: 20s - loss: 4.6666 - acc: 0.0216 - ETA: 20s - loss: 4.6676 - acc: 0.0215 - ETA: 20s - loss: 4.6677 - acc: 0.0214 - ETA: 19s - loss: 4.6675 - acc: 0.0216 - ETA: 19s - loss: 4.6671 - acc: 0.0217 - ETA: 19s - loss: 4.6691 - acc: 0.0219 - ETA: 19s - loss: 4.6690 - acc: 0.0218 - ETA: 19s - loss: 4.6697 - acc: 0.0219 - ETA: 19s - loss: 4.6700 - acc: 0.0218 - ETA: 19s - loss: 4.6699 - acc: 0.0217 - ETA: 18s - loss: 4.6701 - acc: 0.0218 - ETA: 18s - loss: 4.6702 - acc: 0.0217 - ETA: 18s - loss: 4.6700 - acc: 0.0216 - ETA: 18s - loss: 4.6699 - acc: 0.0217 - ETA: 18s - loss: 4.6701 - acc: 0.0216 - ETA: 18s - loss: 4.6696 - acc: 0.0220 - ETA: 18s - loss: 4.6692 - acc: 0.0221 - ETA: 17s - loss: 4.6693 - acc: 0.0220 - ETA: 17s - loss: 4.6694 - acc: 0.0219 - ETA: 17s - loss: 4.6686 - acc: 0.0221 - ETA: 17s - loss: 4.6691 - acc: 0.0220 - ETA: 17s - loss: 4.6693 - acc: 0.0219 - ETA: 17s - loss: 4.6697 - acc: 0.0218 - ETA: 17s - loss: 4.6706 - acc: 0.0217 - ETA: 16s - loss: 4.6712 - acc: 0.0216 - ETA: 16s - loss: 4.6714 - acc: 0.0217 - ETA: 16s - loss: 4.6727 - acc: 0.0216 - ETA: 16s - loss: 4.6717 - acc: 0.0215 - ETA: 16s - loss: 4.6720 - acc: 0.0214 - ETA: 16s - loss: 4.6718 - acc: 0.0213 - ETA: 16s - loss: 4.6721 - acc: 0.0214 - ETA: 15s - loss: 4.6728 - acc: 0.0213 - ETA: 15s - loss: 4.6729 - acc: 0.0212 - ETA: 15s - loss: 4.6731 - acc: 0.0214 - ETA: 15s - loss: 4.6728 - acc: 0.0217 - ETA: 15s - loss: 4.6720 - acc: 0.0216 - ETA: 15s - loss: 4.6722 - acc: 0.0217 - ETA: 14s - loss: 4.6732 - acc: 0.0216 - ETA: 14s - loss: 4.6732 - acc: 0.0216 - ETA: 14s - loss: 4.6726 - acc: 0.0217 - ETA: 14s - loss: 4.6730 - acc: 0.0216 - ETA: 14s - loss: 4.6730 - acc: 0.0215 - ETA: 14s - loss: 4.6727 - acc: 0.0214 - ETA: 14s - loss: 4.6721 - acc: 0.0217 - ETA: 13s - loss: 4.6724 - acc: 0.0221 - ETA: 13s - loss: 4.6747 - acc: 0.0220 - ETA: 13s - loss: 4.6753 - acc: 0.0219 - ETA: 13s - loss: 4.6758 - acc: 0.0220 - ETA: 13s - loss: 4.6757 - acc: 0.0219 - ETA: 13s - loss: 4.6759 - acc: 0.0218 - ETA: 13s - loss: 4.6751 - acc: 0.0217 - ETA: 12s - loss: 4.6754 - acc: 0.0216 - ETA: 12s - loss: 4.6751 - acc: 0.0215 - ETA: 12s - loss: 4.6747 - acc: 0.0215 - ETA: 12s - loss: 4.6747 - acc: 0.0216 - ETA: 12s - loss: 4.6739 - acc: 0.0217 - ETA: 12s - loss: 4.6742 - acc: 0.0218 - ETA: 12s - loss: 4.6740 - acc: 0.0217 - ETA: 11s - loss: 4.6740 - acc: 0.0216 - ETA: 11s - loss: 4.6744 - acc: 0.0215 - ETA: 11s - loss: 4.6749 - acc: 0.0215 - ETA: 11s - loss: 4.6747 - acc: 0.0214 - ETA: 11s - loss: 4.6748 - acc: 0.0213 - ETA: 11s - loss: 4.6750 - acc: 0.0212 - ETA: 11s - loss: 4.6750 - acc: 0.0213 - ETA: 10s - loss: 4.6753 - acc: 0.0212 - ETA: 10s - loss: 4.6756 - acc: 0.0213 - ETA: 10s - loss: 4.6758 - acc: 0.0213 - ETA: 10s - loss: 4.6755 - acc: 0.0212 - ETA: 10s - loss: 4.6751 - acc: 0.0211 - ETA: 10s - loss: 4.6745 - acc: 0.0212 - ETA: 10s - loss: 4.6740 - acc: 0.0211 - ETA: 9s - loss: 4.6745 - acc: 0.0211 - ETA: 9s - loss: 4.6745 - acc: 0.0210 - ETA: 9s - loss: 4.6754 - acc: 0.0209 - ETA: 9s - loss: 4.6757 - acc: 0.0208 - ETA: 9s - loss: 4.6767 - acc: 0.0207 - ETA: 9s - loss: 4.6766 - acc: 0.0207 - ETA: 9s - loss: 4.6762 - acc: 0.0206 - ETA: 8s - loss: 4.6762 - acc: 0.0207 - ETA: 8s - loss: 4.6760 - acc: 0.0206 - ETA: 8s - loss: 4.6761 - acc: 0.0207 - ETA: 8s - loss: 4.6768 - acc: 0.0207 - ETA: 8s - loss: 4.6758 - acc: 0.0208 - ETA: 8s - loss: 4.6759 - acc: 0.0210 - ETA: 7s - loss: 4.6756 - acc: 0.0211 - ETA: 7s - loss: 4.6756 - acc: 0.0211 - ETA: 7s - loss: 4.6758 - acc: 0.0210 - ETA: 7s - loss: 4.6764 - acc: 0.0209 - ETA: 7s - loss: 4.6767 - acc: 0.0208 - ETA: 7s - loss: 4.6761 - acc: 0.0210 - ETA: 7s - loss: 4.6764 - acc: 0.0211 - ETA: 6s - loss: 4.6761 - acc: 0.0210 - ETA: 6s - loss: 4.6760 - acc: 0.0211 - ETA: 6s - loss: 4.6767 - acc: 0.0210 - ETA: 6s - loss: 4.6774 - acc: 0.0209 - ETA: 6s - loss: 4.6773 - acc: 0.0210 - ETA: 6s - loss: 4.6771 - acc: 0.0210 - ETA: 6s - loss: 4.6774 - acc: 0.0209 - ETA: 5s - loss: 4.6777 - acc: 0.0208 - ETA: 5s - loss: 4.6777 - acc: 0.0207 - ETA: 5s - loss: 4.6773 - acc: 0.0207 - ETA: 5s - loss: 4.6778 - acc: 0.0206 - ETA: 5s - loss: 4.6774 - acc: 0.0205 - ETA: 5s - loss: 4.6769 - acc: 0.0206 - ETA: 5s - loss: 4.6766 - acc: 0.0206 - ETA: 4s - loss: 4.6769 - acc: 0.0205 - ETA: 4s - loss: 4.6772 - acc: 0.0204 - ETA: 4s - loss: 4.6775 - acc: 0.0204 - ETA: 4s - loss: 4.6786 - acc: 0.0203 - ETA: 4s - loss: 4.6789 - acc: 0.0202 - ETA: 4s - loss: 4.6787 - acc: 0.0203 - ETA: 4s - loss: 4.6786 - acc: 0.0203 - ETA: 3s - loss: 4.6787 - acc: 0.0204 - ETA: 3s - loss: 4.6781 - acc: 0.0203 - ETA: 3s - loss: 4.6768 - acc: 0.0202 - ETA: 3s - loss: 4.6759 - acc: 0.0202 - ETA: 3s - loss: 4.6761 - acc: 0.0203 - ETA: 3s - loss: 4.6761 - acc: 0.0202 - ETA: 3s - loss: 4.6762 - acc: 0.0201 - ETA: 2s - loss: 4.6751 - acc: 0.0201 - ETA: 2s - loss: 4.6749 - acc: 0.0203 - ETA: 2s - loss: 4.6749 - acc: 0.0203 - ETA: 2s - loss: 4.6752 - acc: 0.0203 - ETA: 2s - loss: 4.6752 - acc: 0.0204 - ETA: 2s - loss: 4.6746 - acc: 0.0204 - ETA: 2s - loss: 4.6748 - acc: 0.0203 - ETA: 1s - loss: 4.6745 - acc: 0.0206 - ETA: 1s - loss: 4.6738 - acc: 0.0207 - ETA: 1s - loss: 4.6743 - acc: 0.0206 - ETA: 1s - loss: 4.6745 - acc: 0.0208 - ETA: 1s - loss: 4.6741 - acc: 0.0208 - ETA: 1s - loss: 4.6743 - acc: 0.0207 - ETA: 1s - loss: 4.6747 - acc: 0.0206 - ETA: 0s - loss: 4.6751 - acc: 0.0206 - ETA: 0s - loss: 4.6752 - acc: 0.0205 - ETA: 0s - loss: 4.6753 - acc: 0.0205 - ETA: 0s - loss: 4.6753 - acc: 0.0204 - ETA: 0s - loss: 4.6752 - acc: 0.0205 - ETA: 0s - loss: 4.6754 - acc: 0.0206Epoch 00005: val_loss improved from 4.66896 to 4.63640, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.6754 - acc: 0.0208 - val_loss: 4.6364 - val_acc: 0.0192 Epoch 7/40 6660/6680 [============================>.] - ETA: 45s - loss: 4.6032 - acc: 0.0500 - ETA: 47s - loss: 4.5947 - acc: 0.0750 - ETA: 47s - loss: 4.5918 - acc: 0.0667 - ETA: 46s - loss: 4.5659 - acc: 0.0625 - ETA: 46s - loss: 4.5714 - acc: 0.0500 - ETA: 46s - loss: 4.5812 - acc: 0.0417 - ETA: 45s - loss: 4.6012 - acc: 0.0429 - ETA: 45s - loss: 4.6504 - acc: 0.0438 - ETA: 45s - loss: 4.6401 - acc: 0.0389 - ETA: 45s - loss: 4.6274 - acc: 0.0350 - ETA: 45s - loss: 4.6432 - acc: 0.0318 - ETA: 45s - loss: 4.6455 - acc: 0.0292 - ETA: 46s - loss: 4.6485 - acc: 0.0308 - ETA: 45s - loss: 4.6362 - acc: 0.0286 - ETA: 46s - loss: 4.6160 - acc: 0.0300 - ETA: 46s - loss: 4.6163 - acc: 0.0281 - ETA: 46s - loss: 4.6195 - acc: 0.0265 - ETA: 45s - loss: 4.6373 - acc: 0.0278 - ETA: 45s - loss: 4.6387 - acc: 0.0316 - ETA: 45s - loss: 4.6400 - acc: 0.0325 - ETA: 45s - loss: 4.6419 - acc: 0.0310 - ETA: 45s - loss: 4.6391 - acc: 0.0295 - ETA: 45s - loss: 4.6451 - acc: 0.0283 - ETA: 44s - loss: 4.6351 - acc: 0.0271 - ETA: 44s - loss: 4.6366 - acc: 0.0280 - ETA: 44s - loss: 4.6362 - acc: 0.0288 - ETA: 44s - loss: 4.6326 - acc: 0.0278 - ETA: 44s - loss: 4.6247 - acc: 0.0286 - ETA: 44s - loss: 4.6260 - acc: 0.0293 - ETA: 44s - loss: 4.6247 - acc: 0.0283 - ETA: 44s - loss: 4.6267 - acc: 0.0274 - ETA: 43s - loss: 4.6294 - acc: 0.0281 - ETA: 43s - loss: 4.6349 - acc: 0.0273 - ETA: 43s - loss: 4.6384 - acc: 0.0265 - ETA: 43s - loss: 4.6401 - acc: 0.0257 - ETA: 43s - loss: 4.6433 - acc: 0.0250 - ETA: 43s - loss: 4.6405 - acc: 0.0243 - ETA: 42s - loss: 4.6427 - acc: 0.0237 - ETA: 42s - loss: 4.6448 - acc: 0.0231 - ETA: 42s - loss: 4.6414 - acc: 0.0238 - ETA: 42s - loss: 4.6377 - acc: 0.0232 - ETA: 42s - loss: 4.6336 - acc: 0.0238 - ETA: 42s - loss: 4.6329 - acc: 0.0233 - ETA: 42s - loss: 4.6328 - acc: 0.0227 - ETA: 41s - loss: 4.6372 - acc: 0.0222 - ETA: 41s - loss: 4.6397 - acc: 0.0239 - ETA: 41s - loss: 4.6384 - acc: 0.0234 - ETA: 41s - loss: 4.6373 - acc: 0.0229 - ETA: 41s - loss: 4.6402 - acc: 0.0235 - ETA: 41s - loss: 4.6409 - acc: 0.0230 - ETA: 40s - loss: 4.6434 - acc: 0.0245 - ETA: 40s - loss: 4.6432 - acc: 0.0240 - ETA: 40s - loss: 4.6432 - acc: 0.0236 - ETA: 40s - loss: 4.6451 - acc: 0.0231 - ETA: 40s - loss: 4.6453 - acc: 0.0227 - ETA: 40s - loss: 4.6465 - acc: 0.0223 - ETA: 40s - loss: 4.6456 - acc: 0.0228 - ETA: 40s - loss: 4.6419 - acc: 0.0224 - ETA: 39s - loss: 4.6356 - acc: 0.0237 - ETA: 39s - loss: 4.6326 - acc: 0.0233 - ETA: 39s - loss: 4.6362 - acc: 0.0238 - ETA: 39s - loss: 4.6346 - acc: 0.0234 - ETA: 39s - loss: 4.6347 - acc: 0.0238 - ETA: 39s - loss: 4.6342 - acc: 0.0234 - ETA: 39s - loss: 4.6336 - acc: 0.0246 - ETA: 38s - loss: 4.6313 - acc: 0.0250 - ETA: 38s - loss: 4.6328 - acc: 0.0254 - ETA: 38s - loss: 4.6342 - acc: 0.0250 - ETA: 38s - loss: 4.6303 - acc: 0.0254 - ETA: 38s - loss: 4.6300 - acc: 0.0257 - ETA: 38s - loss: 4.6277 - acc: 0.0254 - ETA: 37s - loss: 4.6273 - acc: 0.0250 - ETA: 37s - loss: 4.6289 - acc: 0.0247 - ETA: 37s - loss: 4.6276 - acc: 0.0243 - ETA: 37s - loss: 4.6268 - acc: 0.0247 - ETA: 37s - loss: 4.6273 - acc: 0.0243 - ETA: 37s - loss: 4.6262 - acc: 0.0247 - ETA: 37s - loss: 4.6268 - acc: 0.0244 - ETA: 36s - loss: 4.6267 - acc: 0.0241 - ETA: 36s - loss: 4.6278 - acc: 0.0238 - ETA: 36s - loss: 4.6333 - acc: 0.0235 - ETA: 36s - loss: 4.6327 - acc: 0.0232 - ETA: 36s - loss: 4.6295 - acc: 0.0241 - ETA: 36s - loss: 4.6312 - acc: 0.0250 - ETA: 36s - loss: 4.6318 - acc: 0.0247 - ETA: 35s - loss: 4.6340 - acc: 0.0250 - ETA: 35s - loss: 4.6350 - acc: 0.0247 - ETA: 35s - loss: 4.6317 - acc: 0.0256 - ETA: 35s - loss: 4.6324 - acc: 0.0253 - ETA: 35s - loss: 4.6313 - acc: 0.0250 - ETA: 35s - loss: 4.6327 - acc: 0.0253 - ETA: 35s - loss: 4.6330 - acc: 0.0250 - ETA: 34s - loss: 4.6318 - acc: 0.0247 - ETA: 34s - loss: 4.6293 - acc: 0.0250 - ETA: 34s - loss: 4.6282 - acc: 0.0253 - ETA: 34s - loss: 4.6260 - acc: 0.0250 - ETA: 34s - loss: 4.6261 - acc: 0.0247 - ETA: 34s - loss: 4.6274 - acc: 0.0250 - ETA: 34s - loss: 4.6268 - acc: 0.0253 - ETA: 33s - loss: 4.6261 - acc: 0.0250 - ETA: 33s - loss: 4.6255 - acc: 0.0248 - ETA: 33s - loss: 4.6275 - acc: 0.0250 - ETA: 33s - loss: 4.6278 - acc: 0.0248 - ETA: 33s - loss: 4.6247 - acc: 0.0245 - ETA: 33s - loss: 4.6304 - acc: 0.0243 - ETA: 32s - loss: 4.6312 - acc: 0.0245 - ETA: 32s - loss: 4.6326 - acc: 0.0243 - ETA: 32s - loss: 4.6332 - acc: 0.0241 - ETA: 32s - loss: 4.6337 - acc: 0.0239 - ETA: 32s - loss: 4.6347 - acc: 0.0236 - ETA: 32s - loss: 4.6373 - acc: 0.0234 - ETA: 32s - loss: 4.6366 - acc: 0.0232 - ETA: 31s - loss: 4.6361 - acc: 0.0235 - ETA: 31s - loss: 4.6346 - acc: 0.0232 - ETA: 31s - loss: 4.6342 - acc: 0.0230 - ETA: 31s - loss: 4.6350 - acc: 0.0233 - ETA: 31s - loss: 4.6353 - acc: 0.0231 - ETA: 31s - loss: 4.6355 - acc: 0.0229 - ETA: 31s - loss: 4.6340 - acc: 0.0231 - ETA: 30s - loss: 4.6340 - acc: 0.0233 - ETA: 30s - loss: 4.6343 - acc: 0.0231 - ETA: 30s - loss: 4.6334 - acc: 0.0230 - ETA: 30s - loss: 4.6343 - acc: 0.0228 - ETA: 30s - loss: 4.6344 - acc: 0.0226 - ETA: 30s - loss: 4.6339 - acc: 0.0224 - ETA: 30s - loss: 4.6320 - acc: 0.0222 - ETA: 29s - loss: 4.6324 - acc: 0.0220 - ETA: 29s - loss: 4.6335 - acc: 0.0223 - ETA: 29s - loss: 4.6336 - acc: 0.0221 - ETA: 29s - loss: 4.6336 - acc: 0.0219 - ETA: 29s - loss: 4.6370 - acc: 0.0218 - ETA: 29s - loss: 4.6376 - acc: 0.0220 - ETA: 29s - loss: 4.6368 - acc: 0.0222 - ETA: 28s - loss: 4.6355 - acc: 0.0220 - ETA: 28s - loss: 4.6359 - acc: 0.0219 - ETA: 28s - loss: 4.6361 - acc: 0.0217 - ETA: 28s - loss: 4.6365 - acc: 0.0219 - ETA: 28s - loss: 4.6367 - acc: 0.0217 - ETA: 28s - loss: 4.6377 - acc: 0.0216 - ETA: 28s - loss: 4.6377 - acc: 0.0221 - ETA: 27s - loss: 4.6384 - acc: 0.0227 - ETA: 27s - loss: 4.6390 - acc: 0.0229 - ETA: 27s - loss: 4.6396 - acc: 0.0227 - ETA: 27s - loss: 4.6407 - acc: 0.0226 - ETA: 27s - loss: 4.6417 - acc: 0.0224 - ETA: 27s - loss: 4.6411 - acc: 0.0223 - ETA: 27s - loss: 4.6404 - acc: 0.0221 - ETA: 26s - loss: 4.6404 - acc: 0.0220 - ETA: 26s - loss: 4.6396 - acc: 0.0218 - ETA: 26s - loss: 4.6398 - acc: 0.0217 - ETA: 26s - loss: 4.6389 - acc: 0.0219 - ETA: 26s - loss: 4.6411 - acc: 0.0217 - ETA: 26s - loss: 4.6408 - acc: 0.0216 - ETA: 26s - loss: 4.6395 - acc: 0.0214 - ETA: 25s - loss: 4.6400 - acc: 0.0213 - ETA: 25s - loss: 4.6389 - acc: 0.0215 - ETA: 25s - loss: 4.6383 - acc: 0.0213 - ETA: 25s - loss: 4.6369 - acc: 0.0215 - ETA: 25s - loss: 4.6363 - acc: 0.0217 - ETA: 25s - loss: 4.6362 - acc: 0.0216 - ETA: 25s - loss: 4.6361 - acc: 0.0214 - ETA: 24s - loss: 4.6362 - acc: 0.0216 - ETA: 24s - loss: 4.6378 - acc: 0.0215 - ETA: 24s - loss: 4.6384 - acc: 0.0213 - ETA: 24s - loss: 4.6408 - acc: 0.0212 - ETA: 24s - loss: 4.6412 - acc: 0.0211 - ETA: 24s - loss: 4.6409 - acc: 0.0210 - ETA: 24s - loss: 4.6401 - acc: 0.0208 - ETA: 23s - loss: 4.6399 - acc: 0.0207 - ETA: 23s - loss: 4.6402 - acc: 0.0206 - ETA: 23s - loss: 4.6399 - acc: 0.0205 - ETA: 23s - loss: 4.6409 - acc: 0.0206 - ETA: 23s - loss: 4.6415 - acc: 0.0208 - ETA: 23s - loss: 4.6440 - acc: 0.0207 - ETA: 23s - loss: 4.6443 - acc: 0.0206 - ETA: 22s - loss: 4.6445 - acc: 0.0205 - ETA: 22s - loss: 4.6444 - acc: 0.0203 - ETA: 22s - loss: 4.6445 - acc: 0.0202 - ETA: 22s - loss: 4.6443 - acc: 0.0201 - ETA: 22s - loss: 4.6434 - acc: 0.0200 - ETA: 22s - loss: 4.6436 - acc: 0.0202 - ETA: 21s - loss: 4.6448 - acc: 0.0201 - ETA: 21s - loss: 4.6448 - acc: 0.0199 - ETA: 21s - loss: 4.6448 - acc: 0.0198 - ETA: 21s - loss: 4.6452 - acc: 0.0197 - ETA: 21s - loss: 4.6462 - acc: 0.0196 - ETA: 21s - loss: 4.6480 - acc: 0.0195 - ETA: 21s - loss: 4.6474 - acc: 0.0194 - ETA: 20s - loss: 4.6479 - acc: 0.0196 - ETA: 20s - loss: 4.6501 - acc: 0.0195 - ETA: 20s - loss: 4.6501 - acc: 0.0199 - ETA: 20s - loss: 4.6505 - acc: 0.0198 - ETA: 20s - loss: 4.6500 - acc: 0.0199 - ETA: 20s - loss: 4.6505 - acc: 0.0198 - ETA: 20s - loss: 4.6511 - acc: 0.0197 - ETA: 19s - loss: 4.6514 - acc: 0.0196 - ETA: 19s - loss: 4.6519 - acc: 0.0195 - ETA: 19s - loss: 4.6517 - acc: 0.0194 - ETA: 19s - loss: 4.6525 - acc: 0.0193 - ETA: 19s - loss: 4.6527 - acc: 0.0193 - ETA: 19s - loss: 4.6529 - acc: 0.0197 - ETA: 19s - loss: 4.6530 - acc: 0.0196 - ETA: 18s - loss: 4.6534 - acc: 0.0195 - ETA: 18s - loss: 4.6533 - acc: 0.0194 - ETA: 18s - loss: 4.6527 - acc: 0.0193 - ETA: 18s - loss: 4.6538 - acc: 0.0192 - ETA: 18s - loss: 4.6528 - acc: 0.0191 - ETA: 18s - loss: 4.6533 - acc: 0.0195 - ETA: 18s - loss: 4.6535 - acc: 0.0194 - ETA: 17s - loss: 4.6541 - acc: 0.0193 - ETA: 17s - loss: 4.6535 - acc: 0.0194 - ETA: 17s - loss: 4.6527 - acc: 0.0193 - ETA: 17s - loss: 4.6514 - acc: 0.0192 - ETA: 17s - loss: 4.6514 - acc: 0.0194 - ETA: 17s - loss: 4.6514 - acc: 0.0195 - ETA: 17s - loss: 4.6513 - acc: 0.0197 - ETA: 16s - loss: 4.6514 - acc: 0.0200 - ETA: 16s - loss: 4.6512 - acc: 0.0200 - ETA: 16s - loss: 4.6507 - acc: 0.0199 - ETA: 16s - loss: 4.6502 - acc: 0.0200 - ETA: 16s - loss: 4.6499 - acc: 0.0201 - ETA: 16s - loss: 4.6503 - acc: 0.0203 - ETA: 16s - loss: 4.6511 - acc: 0.0202 - ETA: 15s - loss: 4.6512 - acc: 0.0201 - ETA: 15s - loss: 4.6507 - acc: 0.0200 - ETA: 15s - loss: 4.6508 - acc: 0.0204 - ETA: 15s - loss: 4.6508 - acc: 0.0205 - ETA: 15s - loss: 4.6531 - acc: 0.0206 - ETA: 15s - loss: 4.6522 - acc: 0.0205 - ETA: 15s - loss: 4.6531 - acc: 0.0207 - ETA: 14s - loss: 4.6538 - acc: 0.0206 - ETA: 14s - loss: 4.6536 - acc: 0.0205 - ETA: 14s - loss: 4.6530 - acc: 0.0206 - ETA: 14s - loss: 4.6527 - acc: 0.0207 - ETA: 14s - loss: 4.6534 - acc: 0.0206 - ETA: 14s - loss: 4.6532 - acc: 0.0206 - ETA: 14s - loss: 4.6525 - acc: 0.0209 - ETA: 13s - loss: 4.6535 - acc: 0.0208 - ETA: 13s - loss: 4.6533 - acc: 0.0207 - ETA: 13s - loss: 4.6519 - acc: 0.0208 - ETA: 13s - loss: 4.6516 - acc: 0.0207 - ETA: 13s - loss: 4.6509 - acc: 0.0209 - ETA: 13s - loss: 4.6502 - acc: 0.0210 - ETA: 13s - loss: 4.6504 - acc: 0.0209 - ETA: 12s - loss: 4.6506 - acc: 0.0208 - ETA: 12s - loss: 4.6504 - acc: 0.0207 - ETA: 12s - loss: 4.6512 - acc: 0.0209 - ETA: 12s - loss: 4.6514 - acc: 0.0210 - ETA: 12s - loss: 4.6515 - acc: 0.0209 - ETA: 12s - loss: 4.6522 - acc: 0.0208 - ETA: 12s - loss: 4.6528 - acc: 0.0207 - ETA: 11s - loss: 4.6534 - acc: 0.0206 - ETA: 11s - loss: 4.6528 - acc: 0.0208 - ETA: 11s - loss: 4.6529 - acc: 0.0209 - ETA: 11s - loss: 4.6531 - acc: 0.0208 - ETA: 11s - loss: 4.6533 - acc: 0.0207 - ETA: 11s - loss: 4.6533 - acc: 0.0206 - ETA: 11s - loss: 4.6528 - acc: 0.0207 - ETA: 10s - loss: 4.6532 - acc: 0.0207 - ETA: 10s - loss: 4.6542 - acc: 0.0208 - ETA: 10s - loss: 4.6546 - acc: 0.0207 - ETA: 10s - loss: 4.6544 - acc: 0.0206 - ETA: 10s - loss: 4.6534 - acc: 0.0205 - ETA: 10s - loss: 4.6528 - acc: 0.0205 - ETA: 9s - loss: 4.6522 - acc: 0.0206 - ETA: 9s - loss: 4.6534 - acc: 0.0205 - ETA: 9s - loss: 4.6562 - acc: 0.0204 - ETA: 9s - loss: 4.6564 - acc: 0.0205 - ETA: 9s - loss: 4.6564 - acc: 0.0204 - ETA: 9s - loss: 4.6566 - acc: 0.0206 - ETA: 9s - loss: 4.6562 - acc: 0.0205 - ETA: 8s - loss: 4.6561 - acc: 0.0206 - ETA: 8s - loss: 4.6564 - acc: 0.0205 - ETA: 8s - loss: 4.6557 - acc: 0.0206 - ETA: 8s - loss: 4.6549 - acc: 0.0205 - ETA: 8s - loss: 4.6546 - acc: 0.0205 - ETA: 8s - loss: 4.6555 - acc: 0.0204 - ETA: 8s - loss: 4.6555 - acc: 0.0203 - ETA: 7s - loss: 4.6563 - acc: 0.0203 - ETA: 7s - loss: 4.6557 - acc: 0.0202 - ETA: 7s - loss: 4.6546 - acc: 0.0205 - ETA: 7s - loss: 4.6539 - acc: 0.0204 - ETA: 7s - loss: 4.6532 - acc: 0.0203 - ETA: 7s - loss: 4.6530 - acc: 0.0202 - ETA: 7s - loss: 4.6526 - acc: 0.0204 - ETA: 6s - loss: 4.6518 - acc: 0.0205 - ETA: 6s - loss: 4.6513 - acc: 0.0204 - ETA: 6s - loss: 4.6515 - acc: 0.0203 - ETA: 6s - loss: 4.6535 - acc: 0.0202 - ETA: 6s - loss: 4.6537 - acc: 0.0202 - ETA: 6s - loss: 4.6547 - acc: 0.0204 - ETA: 6s - loss: 4.6542 - acc: 0.0205 - ETA: 5s - loss: 4.6540 - acc: 0.0205 - ETA: 5s - loss: 4.6545 - acc: 0.0204 - ETA: 5s - loss: 4.6543 - acc: 0.0203 - ETA: 5s - loss: 4.6543 - acc: 0.0204 - ETA: 5s - loss: 4.6538 - acc: 0.0204 - ETA: 5s - loss: 4.6535 - acc: 0.0203 - ETA: 5s - loss: 4.6543 - acc: 0.0202 - ETA: 4s - loss: 4.6537 - acc: 0.0203 - ETA: 4s - loss: 4.6539 - acc: 0.0203 - ETA: 4s - loss: 4.6532 - acc: 0.0202 - ETA: 4s - loss: 4.6533 - acc: 0.0201 - ETA: 4s - loss: 4.6533 - acc: 0.0201 - ETA: 4s - loss: 4.6534 - acc: 0.0202 - ETA: 4s - loss: 4.6535 - acc: 0.0201 - ETA: 3s - loss: 4.6531 - acc: 0.0200 - ETA: 3s - loss: 4.6533 - acc: 0.0201 - ETA: 3s - loss: 4.6525 - acc: 0.0204 - ETA: 3s - loss: 4.6524 - acc: 0.0205 - ETA: 3s - loss: 4.6524 - acc: 0.0204 - ETA: 3s - loss: 4.6519 - acc: 0.0205 - ETA: 3s - loss: 4.6517 - acc: 0.0204 - ETA: 2s - loss: 4.6521 - acc: 0.0204 - ETA: 2s - loss: 4.6529 - acc: 0.0205 - ETA: 2s - loss: 4.6523 - acc: 0.0206 - ETA: 2s - loss: 4.6524 - acc: 0.0205 - ETA: 2s - loss: 4.6530 - acc: 0.0204 - ETA: 2s - loss: 4.6524 - acc: 0.0204 - ETA: 2s - loss: 4.6515 - acc: 0.0203 - ETA: 1s - loss: 4.6513 - acc: 0.0202 - ETA: 1s - loss: 4.6516 - acc: 0.0202 - ETA: 1s - loss: 4.6513 - acc: 0.0201 - ETA: 1s - loss: 4.6508 - acc: 0.0202 - ETA: 1s - loss: 4.6519 - acc: 0.0202 - ETA: 1s - loss: 4.6515 - acc: 0.0204 - ETA: 1s - loss: 4.6515 - acc: 0.0203 - ETA: 0s - loss: 4.6519 - acc: 0.0203 - ETA: 0s - loss: 4.6515 - acc: 0.0202 - ETA: 0s - loss: 4.6515 - acc: 0.0202 - ETA: 0s - loss: 4.6513 - acc: 0.0204 - ETA: 0s - loss: 4.6519 - acc: 0.0205 - ETA: 0s - loss: 4.6516 - acc: 0.0207Epoch 00006: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 4.6516 - acc: 0.0207 - val_loss: 4.6797 - val_acc: 0.0228 Epoch 8/40 6660/6680 [============================>.] - ETA: 43s - loss: 4.8007 - acc: 0.0500 - ETA: 44s - loss: 4.6727 - acc: 0.0750 - ETA: 45s - loss: 4.6131 - acc: 0.0667 - ETA: 46s - loss: 4.5326 - acc: 0.0500 - ETA: 46s - loss: 4.5507 - acc: 0.0400 - ETA: 47s - loss: 4.6021 - acc: 0.0333 - ETA: 46s - loss: 4.5978 - acc: 0.0286 - ETA: 46s - loss: 4.6722 - acc: 0.0250 - ETA: 46s - loss: 4.6775 - acc: 0.0222 - ETA: 46s - loss: 4.6883 - acc: 0.0200 - ETA: 46s - loss: 4.6939 - acc: 0.0182 - ETA: 46s - loss: 4.6855 - acc: 0.0167 - ETA: 46s - loss: 4.6794 - acc: 0.0154 - ETA: 45s - loss: 4.6863 - acc: 0.0143 - ETA: 45s - loss: 4.7077 - acc: 0.0133 - ETA: 45s - loss: 4.6916 - acc: 0.0156 - ETA: 45s - loss: 4.6831 - acc: 0.0147 - ETA: 45s - loss: 4.6592 - acc: 0.0222 - ETA: 45s - loss: 4.6666 - acc: 0.0237 - ETA: 45s - loss: 4.6616 - acc: 0.0225 - ETA: 45s - loss: 4.6593 - acc: 0.0214 - ETA: 45s - loss: 4.6549 - acc: 0.0205 - ETA: 44s - loss: 4.6591 - acc: 0.0239 - ETA: 44s - loss: 4.6545 - acc: 0.0229 - ETA: 44s - loss: 4.6539 - acc: 0.0240 - ETA: 44s - loss: 4.6524 - acc: 0.0250 - ETA: 44s - loss: 4.6426 - acc: 0.0259 - ETA: 43s - loss: 4.6362 - acc: 0.0268 - ETA: 44s - loss: 4.6245 - acc: 0.0259 - ETA: 43s - loss: 4.6309 - acc: 0.0267 - ETA: 43s - loss: 4.6312 - acc: 0.0290 - ETA: 43s - loss: 4.6368 - acc: 0.0281 - ETA: 43s - loss: 4.6395 - acc: 0.0273 - ETA: 43s - loss: 4.6426 - acc: 0.0265 - ETA: 43s - loss: 4.6425 - acc: 0.0257 - ETA: 43s - loss: 4.6415 - acc: 0.0250 - ETA: 43s - loss: 4.6426 - acc: 0.0243 - ETA: 42s - loss: 4.6464 - acc: 0.0237 - ETA: 42s - loss: 4.6457 - acc: 0.0231 - ETA: 42s - loss: 4.6459 - acc: 0.0225 - ETA: 42s - loss: 4.6448 - acc: 0.0220 - ETA: 42s - loss: 4.6398 - acc: 0.0214 - ETA: 41s - loss: 4.6381 - acc: 0.0209 - ETA: 41s - loss: 4.6342 - acc: 0.0216 - ETA: 41s - loss: 4.6381 - acc: 0.0211 - ETA: 41s - loss: 4.6369 - acc: 0.0207 - ETA: 41s - loss: 4.6361 - acc: 0.0213 - ETA: 41s - loss: 4.6447 - acc: 0.0208 - ETA: 41s - loss: 4.6509 - acc: 0.0204 - ETA: 40s - loss: 4.6557 - acc: 0.0210 - ETA: 40s - loss: 4.6531 - acc: 0.0216 - ETA: 40s - loss: 4.6585 - acc: 0.0212 - ETA: 40s - loss: 4.6607 - acc: 0.0208 - ETA: 40s - loss: 4.6569 - acc: 0.0213 - ETA: 40s - loss: 4.6613 - acc: 0.0209 - ETA: 40s - loss: 4.6623 - acc: 0.0205 - ETA: 40s - loss: 4.6597 - acc: 0.0202 - ETA: 39s - loss: 4.6603 - acc: 0.0198 - ETA: 39s - loss: 4.6596 - acc: 0.0195 - ETA: 39s - loss: 4.6621 - acc: 0.0208 - ETA: 39s - loss: 4.6618 - acc: 0.0205 - ETA: 39s - loss: 4.6599 - acc: 0.0218 - ETA: 39s - loss: 4.6601 - acc: 0.0214 - ETA: 39s - loss: 4.6613 - acc: 0.0211 - ETA: 38s - loss: 4.6610 - acc: 0.0208 - ETA: 38s - loss: 4.6614 - acc: 0.0212 - ETA: 38s - loss: 4.6598 - acc: 0.0209 - ETA: 38s - loss: 4.6635 - acc: 0.0213 - ETA: 38s - loss: 4.6622 - acc: 0.0210 - ETA: 38s - loss: 4.6647 - acc: 0.0207 - ETA: 38s - loss: 4.6676 - acc: 0.0204 - ETA: 37s - loss: 4.6660 - acc: 0.0208 - ETA: 37s - loss: 4.6648 - acc: 0.0219 - ETA: 37s - loss: 4.6629 - acc: 0.0216 - ETA: 37s - loss: 4.6626 - acc: 0.0220 - ETA: 37s - loss: 4.6613 - acc: 0.0224 - ETA: 37s - loss: 4.6645 - acc: 0.0221 - ETA: 36s - loss: 4.6650 - acc: 0.0218 - ETA: 36s - loss: 4.6618 - acc: 0.0215 - ETA: 36s - loss: 4.6574 - acc: 0.0225 - ETA: 36s - loss: 4.6625 - acc: 0.0222 - ETA: 36s - loss: 4.6636 - acc: 0.0220 - ETA: 36s - loss: 4.6650 - acc: 0.0223 - ETA: 36s - loss: 4.6626 - acc: 0.0220 - ETA: 36s - loss: 4.6620 - acc: 0.0218 - ETA: 35s - loss: 4.6610 - acc: 0.0221 - ETA: 35s - loss: 4.6597 - acc: 0.0218 - ETA: 35s - loss: 4.6602 - acc: 0.0216 - ETA: 35s - loss: 4.6593 - acc: 0.0213 - ETA: 35s - loss: 4.6571 - acc: 0.0211 - ETA: 35s - loss: 4.6586 - acc: 0.0209 - ETA: 34s - loss: 4.6604 - acc: 0.0207 - ETA: 34s - loss: 4.6590 - acc: 0.0204 - ETA: 34s - loss: 4.6596 - acc: 0.0202 - ETA: 34s - loss: 4.6568 - acc: 0.0216 - ETA: 34s - loss: 4.6551 - acc: 0.0214 - ETA: 34s - loss: 4.6529 - acc: 0.0211 - ETA: 34s - loss: 4.6513 - acc: 0.0209 - ETA: 33s - loss: 4.6522 - acc: 0.0217 - ETA: 33s - loss: 4.6510 - acc: 0.0215 - ETA: 33s - loss: 4.6477 - acc: 0.0213 - ETA: 33s - loss: 4.6491 - acc: 0.0211 - ETA: 33s - loss: 4.6487 - acc: 0.0209 - ETA: 33s - loss: 4.6501 - acc: 0.0207 - ETA: 33s - loss: 4.6483 - acc: 0.0205 - ETA: 32s - loss: 4.6490 - acc: 0.0203 - ETA: 32s - loss: 4.6491 - acc: 0.0215 - ETA: 32s - loss: 4.6484 - acc: 0.0218 - ETA: 32s - loss: 4.6487 - acc: 0.0216 - ETA: 32s - loss: 4.6480 - acc: 0.0214 - ETA: 32s - loss: 4.6463 - acc: 0.0212 - ETA: 32s - loss: 4.6444 - acc: 0.0214 - ETA: 31s - loss: 4.6430 - acc: 0.0217 - ETA: 31s - loss: 4.6421 - acc: 0.0219 - ETA: 31s - loss: 4.6402 - acc: 0.0226 - ETA: 31s - loss: 4.6386 - acc: 0.0224 - ETA: 31s - loss: 4.6378 - acc: 0.0226 - ETA: 31s - loss: 4.6409 - acc: 0.0225 - ETA: 31s - loss: 4.6426 - acc: 0.0223 - ETA: 30s - loss: 4.6413 - acc: 0.0229 - ETA: 30s - loss: 4.6403 - acc: 0.0227 - ETA: 30s - loss: 4.6395 - acc: 0.0230 - ETA: 30s - loss: 4.6376 - acc: 0.0232 - ETA: 30s - loss: 4.6381 - acc: 0.0230 - ETA: 30s - loss: 4.6402 - acc: 0.0228 - ETA: 30s - loss: 4.6403 - acc: 0.0226 - ETA: 29s - loss: 4.6410 - acc: 0.0224 - ETA: 29s - loss: 4.6435 - acc: 0.0223 - ETA: 29s - loss: 4.6443 - acc: 0.0221 - ETA: 29s - loss: 4.6444 - acc: 0.0223 - ETA: 29s - loss: 4.6433 - acc: 0.0221 - ETA: 29s - loss: 4.6434 - acc: 0.0223 - ETA: 28s - loss: 4.6431 - acc: 0.0222 - ETA: 28s - loss: 4.6436 - acc: 0.0220 - ETA: 28s - loss: 4.6444 - acc: 0.0219 - ETA: 28s - loss: 4.6432 - acc: 0.0221 - ETA: 28s - loss: 4.6420 - acc: 0.0219 - ETA: 28s - loss: 4.6420 - acc: 0.0217 - ETA: 28s - loss: 4.6402 - acc: 0.0219 - ETA: 28s - loss: 4.6394 - acc: 0.0218 - ETA: 27s - loss: 4.6380 - acc: 0.0216 - ETA: 27s - loss: 4.6399 - acc: 0.0215 - ETA: 27s - loss: 4.6412 - acc: 0.0213 - ETA: 27s - loss: 4.6408 - acc: 0.0212 - ETA: 27s - loss: 4.6418 - acc: 0.0210 - ETA: 27s - loss: 4.6414 - acc: 0.0209 - ETA: 27s - loss: 4.6417 - acc: 0.0207 - ETA: 26s - loss: 4.6429 - acc: 0.0206 - ETA: 26s - loss: 4.6424 - acc: 0.0205 - ETA: 26s - loss: 4.6422 - acc: 0.0203 - ETA: 26s - loss: 4.6420 - acc: 0.0202 - ETA: 26s - loss: 4.6413 - acc: 0.0207 - ETA: 26s - loss: 4.6424 - acc: 0.0212 - ETA: 25s - loss: 4.6446 - acc: 0.0211 - ETA: 25s - loss: 4.6438 - acc: 0.0210 - ETA: 25s - loss: 4.6446 - acc: 0.0212 - ETA: 25s - loss: 4.6430 - acc: 0.0213 - ETA: 25s - loss: 4.6417 - acc: 0.0215 - ETA: 25s - loss: 4.6416 - acc: 0.0214 - ETA: 25s - loss: 4.6420 - acc: 0.0213 - ETA: 24s - loss: 4.6399 - acc: 0.0220 - ETA: 24s - loss: 4.6393 - acc: 0.0219 - ETA: 24s - loss: 4.6412 - acc: 0.0218 - ETA: 24s - loss: 4.6417 - acc: 0.0216 - ETA: 24s - loss: 4.6427 - acc: 0.0215 - ETA: 24s - loss: 4.6418 - acc: 0.0214 - ETA: 24s - loss: 4.6413 - acc: 0.0219 - ETA: 24s - loss: 4.6402 - acc: 0.0220 - ETA: 23s - loss: 4.6387 - acc: 0.0222 - ETA: 23s - loss: 4.6387 - acc: 0.0226 - ETA: 23s - loss: 4.6378 - acc: 0.0228 - ETA: 23s - loss: 4.6368 - acc: 0.0227 - ETA: 23s - loss: 4.6358 - acc: 0.0231 - ETA: 23s - loss: 4.6354 - acc: 0.0230 - ETA: 22s - loss: 4.6356 - acc: 0.0231 - ETA: 22s - loss: 4.6351 - acc: 0.0233 - ETA: 22s - loss: 4.6357 - acc: 0.0234 - ETA: 22s - loss: 4.6376 - acc: 0.0233 - ETA: 22s - loss: 4.6363 - acc: 0.0232 - ETA: 22s - loss: 4.6346 - acc: 0.0231 - ETA: 22s - loss: 4.6341 - acc: 0.0238 - ETA: 21s - loss: 4.6337 - acc: 0.0236 - ETA: 21s - loss: 4.6340 - acc: 0.0235 - ETA: 21s - loss: 4.6328 - acc: 0.0236 - ETA: 21s - loss: 4.6333 - acc: 0.0235 - ETA: 21s - loss: 4.6324 - acc: 0.0234 - ETA: 21s - loss: 4.6332 - acc: 0.0233 - ETA: 21s - loss: 4.6331 - acc: 0.0231 - ETA: 20s - loss: 4.6320 - acc: 0.0230 - ETA: 20s - loss: 4.6305 - acc: 0.0234 - ETA: 20s - loss: 4.6287 - acc: 0.0233 - ETA: 20s - loss: 4.6283 - acc: 0.0232 - ETA: 20s - loss: 4.6303 - acc: 0.0231 - ETA: 20s - loss: 4.6295 - acc: 0.0232 - ETA: 20s - loss: 4.6289 - acc: 0.0233 - ETA: 19s - loss: 4.6292 - acc: 0.0232 - ETA: 19s - loss: 4.6297 - acc: 0.0231 - ETA: 19s - loss: 4.6297 - acc: 0.0230 - ETA: 19s - loss: 4.6304 - acc: 0.0236 - ETA: 19s - loss: 4.6299 - acc: 0.0238 - ETA: 19s - loss: 4.6298 - acc: 0.0236 - ETA: 19s - loss: 4.6303 - acc: 0.0235 - ETA: 18s - loss: 4.6310 - acc: 0.0234 - ETA: 18s - loss: 4.6308 - acc: 0.0233 - ETA: 18s - loss: 4.6316 - acc: 0.0232 - ETA: 18s - loss: 4.6307 - acc: 0.0231 - ETA: 18s - loss: 4.6297 - acc: 0.0232 - ETA: 18s - loss: 4.6298 - acc: 0.0231 - ETA: 18s - loss: 4.6294 - acc: 0.0230 - ETA: 17s - loss: 4.6287 - acc: 0.0229 - ETA: 17s - loss: 4.6295 - acc: 0.0227 - ETA: 17s - loss: 4.6291 - acc: 0.0231 - ETA: 17s - loss: 4.6287 - acc: 0.0230 - ETA: 17s - loss: 4.6286 - acc: 0.0231 - ETA: 17s - loss: 4.6297 - acc: 0.0230 - ETA: 17s - loss: 4.6294 - acc: 0.0229 - ETA: 16s - loss: 4.6311 - acc: 0.0228 - ETA: 16s - loss: 4.6315 - acc: 0.0227 - ETA: 16s - loss: 4.6308 - acc: 0.0226 - ETA: 16s - loss: 4.6313 - acc: 0.0225 - ETA: 16s - loss: 4.6313 - acc: 0.0229 - ETA: 16s - loss: 4.6319 - acc: 0.0227 - ETA: 16s - loss: 4.6320 - acc: 0.0226 - ETA: 15s - loss: 4.6321 - acc: 0.0228 - ETA: 15s - loss: 4.6319 - acc: 0.0229 - ETA: 15s - loss: 4.6313 - acc: 0.0230 - ETA: 15s - loss: 4.6305 - acc: 0.0231 - ETA: 15s - loss: 4.6306 - acc: 0.0230 - ETA: 15s - loss: 4.6301 - acc: 0.0229 - ETA: 15s - loss: 4.6303 - acc: 0.0230 - ETA: 14s - loss: 4.6300 - acc: 0.0232 - ETA: 14s - loss: 4.6300 - acc: 0.0231 - ETA: 14s - loss: 4.6293 - acc: 0.0230 - ETA: 14s - loss: 4.6295 - acc: 0.0229 - ETA: 14s - loss: 4.6299 - acc: 0.0228 - ETA: 14s - loss: 4.6298 - acc: 0.0227 - ETA: 14s - loss: 4.6309 - acc: 0.0226 - ETA: 13s - loss: 4.6311 - acc: 0.0225 - ETA: 13s - loss: 4.6306 - acc: 0.0224 - ETA: 13s - loss: 4.6311 - acc: 0.0225 - ETA: 13s - loss: 4.6309 - acc: 0.0226 - ETA: 13s - loss: 4.6312 - acc: 0.0227 - ETA: 13s - loss: 4.6302 - acc: 0.0226 - ETA: 12s - loss: 4.6301 - acc: 0.0225 - ETA: 12s - loss: 4.6303 - acc: 0.0224 - ETA: 12s - loss: 4.6300 - acc: 0.0226 - ETA: 12s - loss: 4.6301 - acc: 0.0225 - ETA: 12s - loss: 4.6293 - acc: 0.0224 - ETA: 12s - loss: 4.6282 - acc: 0.0223 - ETA: 12s - loss: 4.6298 - acc: 0.0222 - ETA: 11s - loss: 4.6322 - acc: 0.0221 - ETA: 11s - loss: 4.6323 - acc: 0.0220 - ETA: 11s - loss: 4.6323 - acc: 0.0223 - ETA: 11s - loss: 4.6320 - acc: 0.0224 - ETA: 11s - loss: 4.6318 - acc: 0.0224 - ETA: 11s - loss: 4.6322 - acc: 0.0223 - ETA: 11s - loss: 4.6326 - acc: 0.0224 - ETA: 10s - loss: 4.6340 - acc: 0.0225 - ETA: 10s - loss: 4.6346 - acc: 0.0224 - ETA: 10s - loss: 4.6349 - acc: 0.0223 - ETA: 10s - loss: 4.6346 - acc: 0.0224 - ETA: 10s - loss: 4.6353 - acc: 0.0223 - ETA: 10s - loss: 4.6347 - acc: 0.0224 - ETA: 10s - loss: 4.6352 - acc: 0.0225 - ETA: 9s - loss: 4.6345 - acc: 0.0225 - ETA: 9s - loss: 4.6355 - acc: 0.0224 - ETA: 9s - loss: 4.6350 - acc: 0.0227 - ETA: 9s - loss: 4.6338 - acc: 0.0228 - ETA: 9s - loss: 4.6335 - acc: 0.0227 - ETA: 9s - loss: 4.6342 - acc: 0.0226 - ETA: 9s - loss: 4.6341 - acc: 0.0225 - ETA: 8s - loss: 4.6350 - acc: 0.0224 - ETA: 8s - loss: 4.6354 - acc: 0.0223 - ETA: 8s - loss: 4.6356 - acc: 0.0223 - ETA: 8s - loss: 4.6352 - acc: 0.0222 - ETA: 8s - loss: 4.6346 - acc: 0.0226 - ETA: 8s - loss: 4.6343 - acc: 0.0226 - ETA: 8s - loss: 4.6345 - acc: 0.0227 - ETA: 7s - loss: 4.6341 - acc: 0.0226 - ETA: 7s - loss: 4.6349 - acc: 0.0227 - ETA: 7s - loss: 4.6356 - acc: 0.0226 - ETA: 7s - loss: 4.6355 - acc: 0.0229 - ETA: 7s - loss: 4.6356 - acc: 0.0228 - ETA: 7s - loss: 4.6351 - acc: 0.0227 - ETA: 7s - loss: 4.6357 - acc: 0.0226 - ETA: 6s - loss: 4.6353 - acc: 0.0226 - ETA: 6s - loss: 4.6355 - acc: 0.0225 - ETA: 6s - loss: 4.6355 - acc: 0.0224 - ETA: 6s - loss: 4.6356 - acc: 0.0223 - ETA: 6s - loss: 4.6361 - acc: 0.0222 - ETA: 6s - loss: 4.6363 - acc: 0.0222 - ETA: 6s - loss: 4.6370 - acc: 0.0221 - ETA: 5s - loss: 4.6371 - acc: 0.0222 - ETA: 5s - loss: 4.6377 - acc: 0.0221 - ETA: 5s - loss: 4.6387 - acc: 0.0222 - ETA: 5s - loss: 4.6391 - acc: 0.0221 - ETA: 5s - loss: 4.6392 - acc: 0.0221 - ETA: 5s - loss: 4.6388 - acc: 0.0220 - ETA: 5s - loss: 4.6388 - acc: 0.0219 - ETA: 4s - loss: 4.6381 - acc: 0.0220 - ETA: 4s - loss: 4.6380 - acc: 0.0219 - ETA: 4s - loss: 4.6376 - acc: 0.0219 - ETA: 4s - loss: 4.6386 - acc: 0.0218 - ETA: 4s - loss: 4.6386 - acc: 0.0217 - ETA: 4s - loss: 4.6391 - acc: 0.0218 - ETA: 4s - loss: 4.6392 - acc: 0.0219 - ETA: 3s - loss: 4.6396 - acc: 0.0218 - ETA: 3s - loss: 4.6389 - acc: 0.0219 - ETA: 3s - loss: 4.6384 - acc: 0.0218 - ETA: 3s - loss: 4.6380 - acc: 0.0221 - ETA: 3s - loss: 4.6383 - acc: 0.0220 - ETA: 3s - loss: 4.6379 - acc: 0.0220 - ETA: 3s - loss: 4.6383 - acc: 0.0219 - ETA: 2s - loss: 4.6385 - acc: 0.0218 - ETA: 2s - loss: 4.6386 - acc: 0.0219 - ETA: 2s - loss: 4.6394 - acc: 0.0218 - ETA: 2s - loss: 4.6396 - acc: 0.0218 - ETA: 2s - loss: 4.6394 - acc: 0.0219 - ETA: 2s - loss: 4.6395 - acc: 0.0218 - ETA: 2s - loss: 4.6389 - acc: 0.0219 - ETA: 1s - loss: 4.6392 - acc: 0.0218 - ETA: 1s - loss: 4.6398 - acc: 0.0217 - ETA: 1s - loss: 4.6396 - acc: 0.0217 - ETA: 1s - loss: 4.6398 - acc: 0.0218 - ETA: 1s - loss: 4.6400 - acc: 0.0218 - ETA: 1s - loss: 4.6396 - acc: 0.0218 - ETA: 1s - loss: 4.6395 - acc: 0.0217 - ETA: 0s - loss: 4.6393 - acc: 0.0220 - ETA: 0s - loss: 4.6391 - acc: 0.0219 - ETA: 0s - loss: 4.6381 - acc: 0.0218 - ETA: 0s - loss: 4.6386 - acc: 0.0218 - ETA: 0s - loss: 4.6388 - acc: 0.0217 - ETA: 0s - loss: 4.6389 - acc: 0.0216Epoch 00007: val_loss improved from 4.63640 to 4.62788, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.6383 - acc: 0.0216 - val_loss: 4.6279 - val_acc: 0.0216 Epoch 9/40 6660/6680 [============================>.] - ETA: 45s - loss: 4.2787 - acc: 0.0000e+00 - ETA: 47s - loss: 4.4532 - acc: 0.0000e+00 - ETA: 45s - loss: 4.4530 - acc: 0.0167 - ETA: 46s - loss: 4.4564 - acc: 0.0125 - ETA: 47s - loss: 4.5112 - acc: 0.0100 - ETA: 46s - loss: 4.5962 - acc: 0.0083 - ETA: 46s - loss: 4.5992 - acc: 0.0071 - ETA: 46s - loss: 4.6076 - acc: 0.0063 - ETA: 46s - loss: 4.6078 - acc: 0.0167 - ETA: 46s - loss: 4.6498 - acc: 0.0150 - ETA: 46s - loss: 4.6644 - acc: 0.0136 - ETA: 45s - loss: 4.6693 - acc: 0.0125 - ETA: 45s - loss: 4.6675 - acc: 0.0115 - ETA: 45s - loss: 4.6650 - acc: 0.0107 - ETA: 45s - loss: 4.6685 - acc: 0.0100 - ETA: 45s - loss: 4.6691 - acc: 0.0156 - ETA: 45s - loss: 4.6829 - acc: 0.0176 - ETA: 45s - loss: 4.6826 - acc: 0.0167 - ETA: 45s - loss: 4.6793 - acc: 0.0184 - ETA: 45s - loss: 4.6768 - acc: 0.0175 - ETA: 45s - loss: 4.6645 - acc: 0.0190 - ETA: 45s - loss: 4.6650 - acc: 0.0205 - ETA: 44s - loss: 4.6584 - acc: 0.0196 - ETA: 44s - loss: 4.6616 - acc: 0.0208 - ETA: 44s - loss: 4.6493 - acc: 0.0240 - ETA: 44s - loss: 4.6412 - acc: 0.0231 - ETA: 44s - loss: 4.6387 - acc: 0.0222 - ETA: 44s - loss: 4.6463 - acc: 0.0232 - ETA: 44s - loss: 4.6488 - acc: 0.0224 - ETA: 44s - loss: 4.6381 - acc: 0.0250 - ETA: 43s - loss: 4.6413 - acc: 0.0242 - ETA: 43s - loss: 4.6301 - acc: 0.0266 - ETA: 43s - loss: 4.6280 - acc: 0.0258 - ETA: 43s - loss: 4.6266 - acc: 0.0250 - ETA: 43s - loss: 4.6192 - acc: 0.0257 - ETA: 43s - loss: 4.6145 - acc: 0.0264 - ETA: 42s - loss: 4.6230 - acc: 0.0257 - ETA: 42s - loss: 4.6462 - acc: 0.0250 - ETA: 42s - loss: 4.6461 - acc: 0.0244 - ETA: 42s - loss: 4.6411 - acc: 0.0250 - ETA: 42s - loss: 4.6382 - acc: 0.0256 - ETA: 42s - loss: 4.6333 - acc: 0.0262 - ETA: 41s - loss: 4.6307 - acc: 0.0267 - ETA: 41s - loss: 4.6316 - acc: 0.0261 - ETA: 41s - loss: 4.6316 - acc: 0.0256 - ETA: 41s - loss: 4.6345 - acc: 0.0261 - ETA: 41s - loss: 4.6364 - acc: 0.0266 - ETA: 41s - loss: 4.6368 - acc: 0.0260 - ETA: 41s - loss: 4.6356 - acc: 0.0265 - ETA: 40s - loss: 4.6326 - acc: 0.0270 - ETA: 40s - loss: 4.6265 - acc: 0.0275 - ETA: 40s - loss: 4.6247 - acc: 0.0288 - ETA: 40s - loss: 4.6282 - acc: 0.0283 - ETA: 40s - loss: 4.6271 - acc: 0.0287 - ETA: 40s - loss: 4.6258 - acc: 0.0300 - ETA: 39s - loss: 4.6262 - acc: 0.0304 - ETA: 39s - loss: 4.6249 - acc: 0.0307 - ETA: 39s - loss: 4.6286 - acc: 0.0302 - ETA: 39s - loss: 4.6298 - acc: 0.0297 - ETA: 39s - loss: 4.6304 - acc: 0.0292 - ETA: 39s - loss: 4.6284 - acc: 0.0295 - ETA: 39s - loss: 4.6271 - acc: 0.0290 - ETA: 39s - loss: 4.6233 - acc: 0.0294 - ETA: 38s - loss: 4.6193 - acc: 0.0289 - ETA: 38s - loss: 4.6199 - acc: 0.0292 - ETA: 38s - loss: 4.6148 - acc: 0.0288 - ETA: 38s - loss: 4.6160 - acc: 0.0284 - ETA: 38s - loss: 4.6126 - acc: 0.0279 - ETA: 38s - loss: 4.6103 - acc: 0.0283 - ETA: 37s - loss: 4.6106 - acc: 0.0279 - ETA: 37s - loss: 4.6132 - acc: 0.0282 - ETA: 37s - loss: 4.6146 - acc: 0.0278 - ETA: 37s - loss: 4.6152 - acc: 0.0274 - ETA: 37s - loss: 4.6190 - acc: 0.0270 - ETA: 37s - loss: 4.6168 - acc: 0.0267 - ETA: 37s - loss: 4.6255 - acc: 0.0263 - ETA: 36s - loss: 4.6251 - acc: 0.0260 - ETA: 36s - loss: 4.6251 - acc: 0.0256 - ETA: 36s - loss: 4.6250 - acc: 0.0259 - ETA: 36s - loss: 4.6270 - acc: 0.0256 - ETA: 36s - loss: 4.6273 - acc: 0.0253 - ETA: 36s - loss: 4.6301 - acc: 0.0250 - ETA: 36s - loss: 4.6291 - acc: 0.0253 - ETA: 35s - loss: 4.6260 - acc: 0.0256 - ETA: 35s - loss: 4.6265 - acc: 0.0265 - ETA: 35s - loss: 4.6273 - acc: 0.0262 - ETA: 35s - loss: 4.6268 - acc: 0.0259 - ETA: 35s - loss: 4.6264 - acc: 0.0261 - ETA: 35s - loss: 4.6260 - acc: 0.0264 - ETA: 35s - loss: 4.6243 - acc: 0.0261 - ETA: 34s - loss: 4.6227 - acc: 0.0264 - ETA: 34s - loss: 4.6218 - acc: 0.0272 - ETA: 34s - loss: 4.6192 - acc: 0.0269 - ETA: 34s - loss: 4.6177 - acc: 0.0266 - ETA: 34s - loss: 4.6173 - acc: 0.0263 - ETA: 34s - loss: 4.6203 - acc: 0.0266 - ETA: 34s - loss: 4.6204 - acc: 0.0268 - ETA: 33s - loss: 4.6212 - acc: 0.0265 - ETA: 33s - loss: 4.6212 - acc: 0.0263 - ETA: 33s - loss: 4.6203 - acc: 0.0260 - ETA: 33s - loss: 4.6206 - acc: 0.0267 - ETA: 33s - loss: 4.6198 - acc: 0.0265 - ETA: 33s - loss: 4.6183 - acc: 0.0267 - ETA: 33s - loss: 4.6177 - acc: 0.0269 - ETA: 32s - loss: 4.6163 - acc: 0.0281 - ETA: 32s - loss: 4.6150 - acc: 0.0283 - ETA: 32s - loss: 4.6170 - acc: 0.0280 - ETA: 32s - loss: 4.6168 - acc: 0.0282 - ETA: 32s - loss: 4.6170 - acc: 0.0280 - ETA: 32s - loss: 4.6169 - acc: 0.0282 - ETA: 32s - loss: 4.6184 - acc: 0.0279 - ETA: 31s - loss: 4.6198 - acc: 0.0277 - ETA: 31s - loss: 4.6208 - acc: 0.0274 - ETA: 31s - loss: 4.6213 - acc: 0.0272 - ETA: 31s - loss: 4.6210 - acc: 0.0270 - ETA: 31s - loss: 4.6212 - acc: 0.0272 - ETA: 31s - loss: 4.6195 - acc: 0.0274 - ETA: 31s - loss: 4.6178 - acc: 0.0271 - ETA: 30s - loss: 4.6183 - acc: 0.0269 - ETA: 30s - loss: 4.6173 - acc: 0.0275 - ETA: 30s - loss: 4.6156 - acc: 0.0273 - ETA: 30s - loss: 4.6132 - acc: 0.0279 - ETA: 30s - loss: 4.6176 - acc: 0.0276 - ETA: 30s - loss: 4.6196 - acc: 0.0278 - ETA: 30s - loss: 4.6213 - acc: 0.0276 - ETA: 29s - loss: 4.6219 - acc: 0.0278 - ETA: 29s - loss: 4.6207 - acc: 0.0280 - ETA: 29s - loss: 4.6236 - acc: 0.0277 - ETA: 29s - loss: 4.6250 - acc: 0.0275 - ETA: 29s - loss: 4.6236 - acc: 0.0273 - ETA: 29s - loss: 4.6245 - acc: 0.0279 - ETA: 29s - loss: 4.6220 - acc: 0.0280 - ETA: 28s - loss: 4.6221 - acc: 0.0278 - ETA: 28s - loss: 4.6207 - acc: 0.0276 - ETA: 28s - loss: 4.6220 - acc: 0.0278 - ETA: 28s - loss: 4.6228 - acc: 0.0276 - ETA: 28s - loss: 4.6243 - acc: 0.0274 - ETA: 28s - loss: 4.6237 - acc: 0.0272 - ETA: 28s - loss: 4.6222 - acc: 0.0270 - ETA: 27s - loss: 4.6209 - acc: 0.0271 - ETA: 27s - loss: 4.6235 - acc: 0.0270 - ETA: 27s - loss: 4.6261 - acc: 0.0268 - ETA: 27s - loss: 4.6262 - acc: 0.0269 - ETA: 27s - loss: 4.6263 - acc: 0.0271 - ETA: 27s - loss: 4.6265 - acc: 0.0269 - ETA: 27s - loss: 4.6269 - acc: 0.0271 - ETA: 26s - loss: 4.6255 - acc: 0.0272 - ETA: 26s - loss: 4.6253 - acc: 0.0274 - ETA: 26s - loss: 4.6242 - acc: 0.0272 - ETA: 26s - loss: 4.6244 - acc: 0.0270 - ETA: 26s - loss: 4.6244 - acc: 0.0272 - ETA: 26s - loss: 4.6249 - acc: 0.0270 - ETA: 25s - loss: 4.6245 - acc: 0.0271 - ETA: 25s - loss: 4.6245 - acc: 0.0269 - ETA: 25s - loss: 4.6233 - acc: 0.0274 - ETA: 25s - loss: 4.6256 - acc: 0.0272 - ETA: 25s - loss: 4.6263 - acc: 0.0271 - ETA: 25s - loss: 4.6260 - acc: 0.0272 - ETA: 25s - loss: 4.6252 - acc: 0.0274 - ETA: 24s - loss: 4.6248 - acc: 0.0272 - ETA: 24s - loss: 4.6256 - acc: 0.0270 - ETA: 24s - loss: 4.6269 - acc: 0.0269 - ETA: 24s - loss: 4.6266 - acc: 0.0267 - ETA: 24s - loss: 4.6258 - acc: 0.0274 - ETA: 24s - loss: 4.6246 - acc: 0.0273 - ETA: 24s - loss: 4.6243 - acc: 0.0271 - ETA: 23s - loss: 4.6232 - acc: 0.0269 - ETA: 23s - loss: 4.6228 - acc: 0.0271 - ETA: 23s - loss: 4.6219 - acc: 0.0272 - ETA: 23s - loss: 4.6199 - acc: 0.0274 - ETA: 23s - loss: 4.6184 - acc: 0.0272 - ETA: 23s - loss: 4.6196 - acc: 0.0270 - ETA: 23s - loss: 4.6193 - acc: 0.0272 - ETA: 22s - loss: 4.6188 - acc: 0.0273 - ETA: 22s - loss: 4.6195 - acc: 0.0271 - ETA: 22s - loss: 4.6196 - acc: 0.0270 - ETA: 22s - loss: 4.6204 - acc: 0.0268 - ETA: 22s - loss: 4.6197 - acc: 0.0267 - ETA: 22s - loss: 4.6186 - acc: 0.0277 - ETA: 22s - loss: 4.6191 - acc: 0.0275 - ETA: 21s - loss: 4.6207 - acc: 0.0273 - ETA: 21s - loss: 4.6221 - acc: 0.0275 - ETA: 21s - loss: 4.6221 - acc: 0.0273 - ETA: 21s - loss: 4.6237 - acc: 0.0272 - ETA: 21s - loss: 4.6232 - acc: 0.0273 - ETA: 21s - loss: 4.6222 - acc: 0.0274 - ETA: 21s - loss: 4.6212 - acc: 0.0275 - ETA: 20s - loss: 4.6208 - acc: 0.0279 - ETA: 20s - loss: 4.6197 - acc: 0.0280 - ETA: 20s - loss: 4.6200 - acc: 0.0279 - ETA: 20s - loss: 4.6204 - acc: 0.0277 - ETA: 20s - loss: 4.6199 - acc: 0.0276 - ETA: 20s - loss: 4.6197 - acc: 0.0275 - ETA: 20s - loss: 4.6187 - acc: 0.0273 - ETA: 19s - loss: 4.6186 - acc: 0.0274 - ETA: 19s - loss: 4.6187 - acc: 0.0276 - ETA: 19s - loss: 4.6183 - acc: 0.0274 - ETA: 19s - loss: 4.6177 - acc: 0.0273 - ETA: 19s - loss: 4.6175 - acc: 0.0271 - ETA: 19s - loss: 4.6174 - acc: 0.0273 - ETA: 19s - loss: 4.6168 - acc: 0.0271 - ETA: 18s - loss: 4.6169 - acc: 0.0275 - ETA: 18s - loss: 4.6172 - acc: 0.0278 - ETA: 18s - loss: 4.6165 - acc: 0.0277 - ETA: 18s - loss: 4.6167 - acc: 0.0276 - ETA: 18s - loss: 4.6172 - acc: 0.0277 - ETA: 18s - loss: 4.6161 - acc: 0.0280 - ETA: 18s - loss: 4.6155 - acc: 0.0279 - ETA: 17s - loss: 4.6158 - acc: 0.0278 - ETA: 17s - loss: 4.6144 - acc: 0.0279 - ETA: 17s - loss: 4.6142 - acc: 0.0277 - ETA: 17s - loss: 4.6148 - acc: 0.0278 - ETA: 17s - loss: 4.6139 - acc: 0.0277 - ETA: 17s - loss: 4.6144 - acc: 0.0276 - ETA: 17s - loss: 4.6160 - acc: 0.0274 - ETA: 16s - loss: 4.6156 - acc: 0.0275 - ETA: 16s - loss: 4.6166 - acc: 0.0274 - ETA: 16s - loss: 4.6168 - acc: 0.0273 - ETA: 16s - loss: 4.6169 - acc: 0.0272 - ETA: 16s - loss: 4.6173 - acc: 0.0270 - ETA: 16s - loss: 4.6170 - acc: 0.0271 - ETA: 16s - loss: 4.6165 - acc: 0.0273 - ETA: 15s - loss: 4.6164 - acc: 0.0271 - ETA: 15s - loss: 4.6168 - acc: 0.0270 - ETA: 15s - loss: 4.6172 - acc: 0.0269 - ETA: 15s - loss: 4.6171 - acc: 0.0270 - ETA: 15s - loss: 4.6169 - acc: 0.0271 - ETA: 15s - loss: 4.6172 - acc: 0.0270 - ETA: 15s - loss: 4.6174 - acc: 0.0271 - ETA: 14s - loss: 4.6166 - acc: 0.0276 - ETA: 14s - loss: 4.6177 - acc: 0.0275 - ETA: 14s - loss: 4.6183 - acc: 0.0276 - ETA: 14s - loss: 4.6177 - acc: 0.0277 - ETA: 14s - loss: 4.6187 - acc: 0.0276 - ETA: 14s - loss: 4.6188 - acc: 0.0274 - ETA: 14s - loss: 4.6200 - acc: 0.0275 - ETA: 13s - loss: 4.6199 - acc: 0.0276 - ETA: 13s - loss: 4.6201 - acc: 0.0275 - ETA: 13s - loss: 4.6203 - acc: 0.0274 - ETA: 13s - loss: 4.6207 - acc: 0.0273 - ETA: 13s - loss: 4.6202 - acc: 0.0272 - ETA: 13s - loss: 4.6203 - acc: 0.0271 - ETA: 13s - loss: 4.6199 - acc: 0.0270 - ETA: 12s - loss: 4.6201 - acc: 0.0268 - ETA: 12s - loss: 4.6199 - acc: 0.0267 - ETA: 12s - loss: 4.6199 - acc: 0.0268 - ETA: 12s - loss: 4.6203 - acc: 0.0267 - ETA: 12s - loss: 4.6204 - acc: 0.0266 - ETA: 12s - loss: 4.6210 - acc: 0.0265 - ETA: 12s - loss: 4.6216 - acc: 0.0264 - ETA: 11s - loss: 4.6220 - acc: 0.0263 - ETA: 11s - loss: 4.6215 - acc: 0.0264 - ETA: 11s - loss: 4.6221 - acc: 0.0265 - ETA: 11s - loss: 4.6220 - acc: 0.0266 - ETA: 11s - loss: 4.6216 - acc: 0.0267 - ETA: 11s - loss: 4.6217 - acc: 0.0266 - ETA: 11s - loss: 4.6220 - acc: 0.0265 - ETA: 10s - loss: 4.6226 - acc: 0.0266 - ETA: 10s - loss: 4.6229 - acc: 0.0266 - ETA: 10s - loss: 4.6232 - acc: 0.0265 - ETA: 10s - loss: 4.6238 - acc: 0.0266 - ETA: 10s - loss: 4.6237 - acc: 0.0267 - ETA: 10s - loss: 4.6233 - acc: 0.0268 - ETA: 10s - loss: 4.6225 - acc: 0.0267 - ETA: 9s - loss: 4.6230 - acc: 0.0266 - ETA: 9s - loss: 4.6231 - acc: 0.0265 - ETA: 9s - loss: 4.6230 - acc: 0.0264 - ETA: 9s - loss: 4.6223 - acc: 0.0269 - ETA: 9s - loss: 4.6233 - acc: 0.0270 - ETA: 9s - loss: 4.6226 - acc: 0.0269 - ETA: 9s - loss: 4.6230 - acc: 0.0269 - ETA: 8s - loss: 4.6235 - acc: 0.0272 - ETA: 8s - loss: 4.6245 - acc: 0.0271 - ETA: 8s - loss: 4.6249 - acc: 0.0270 - ETA: 8s - loss: 4.6242 - acc: 0.0271 - ETA: 8s - loss: 4.6235 - acc: 0.0272 - ETA: 8s - loss: 4.6237 - acc: 0.0271 - ETA: 8s - loss: 4.6252 - acc: 0.0270 - ETA: 7s - loss: 4.6274 - acc: 0.0269 - ETA: 7s - loss: 4.6270 - acc: 0.0268 - ETA: 7s - loss: 4.6259 - acc: 0.0269 - ETA: 7s - loss: 4.6261 - acc: 0.0268 - ETA: 7s - loss: 4.6257 - acc: 0.0269 - ETA: 7s - loss: 4.6256 - acc: 0.0268 - ETA: 7s - loss: 4.6258 - acc: 0.0267 - ETA: 6s - loss: 4.6250 - acc: 0.0267 - ETA: 6s - loss: 4.6247 - acc: 0.0267 - ETA: 6s - loss: 4.6257 - acc: 0.0267 - ETA: 6s - loss: 4.6253 - acc: 0.0268 - ETA: 6s - loss: 4.6251 - acc: 0.0271 - ETA: 6s - loss: 4.6255 - acc: 0.0271 - ETA: 6s - loss: 4.6258 - acc: 0.0272 - ETA: 5s - loss: 4.6261 - acc: 0.0273 - ETA: 5s - loss: 4.6258 - acc: 0.0274 - ETA: 5s - loss: 4.6260 - acc: 0.0273 - ETA: 5s - loss: 4.6262 - acc: 0.0272 - ETA: 5s - loss: 4.6266 - acc: 0.0271 - ETA: 5s - loss: 4.6270 - acc: 0.0270 - ETA: 5s - loss: 4.6277 - acc: 0.0269 - ETA: 4s - loss: 4.6271 - acc: 0.0268 - ETA: 4s - loss: 4.6266 - acc: 0.0269 - ETA: 4s - loss: 4.6264 - acc: 0.0268 - ETA: 4s - loss: 4.6262 - acc: 0.0267 - ETA: 4s - loss: 4.6260 - acc: 0.0268 - ETA: 4s - loss: 4.6259 - acc: 0.0269 - ETA: 4s - loss: 4.6259 - acc: 0.0268 - ETA: 3s - loss: 4.6257 - acc: 0.0267 - ETA: 3s - loss: 4.6254 - acc: 0.0268 - ETA: 3s - loss: 4.6254 - acc: 0.0267 - ETA: 3s - loss: 4.6260 - acc: 0.0266 - ETA: 3s - loss: 4.6261 - acc: 0.0267 - ETA: 3s - loss: 4.6265 - acc: 0.0266 - ETA: 3s - loss: 4.6260 - acc: 0.0267 - ETA: 2s - loss: 4.6261 - acc: 0.0268 - ETA: 2s - loss: 4.6252 - acc: 0.0267 - ETA: 2s - loss: 4.6257 - acc: 0.0266 - ETA: 2s - loss: 4.6263 - acc: 0.0267 - ETA: 2s - loss: 4.6260 - acc: 0.0267 - ETA: 2s - loss: 4.6255 - acc: 0.0268 - ETA: 2s - loss: 4.6262 - acc: 0.0269 - ETA: 1s - loss: 4.6266 - acc: 0.0268 - ETA: 1s - loss: 4.6264 - acc: 0.0267 - ETA: 1s - loss: 4.6266 - acc: 0.0266 - ETA: 1s - loss: 4.6266 - acc: 0.0265 - ETA: 1s - loss: 4.6262 - acc: 0.0266 - ETA: 1s - loss: 4.6260 - acc: 0.0267 - ETA: 1s - loss: 4.6262 - acc: 0.0266 - ETA: 0s - loss: 4.6268 - acc: 0.0265 - ETA: 0s - loss: 4.6266 - acc: 0.0264 - ETA: 0s - loss: 4.6270 - acc: 0.0264 - ETA: 0s - loss: 4.6263 - acc: 0.0266 - ETA: 0s - loss: 4.6259 - acc: 0.0267 - ETA: 0s - loss: 4.6266 - acc: 0.0267Epoch 00008: val_loss improved from 4.62788 to 4.62590, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.6261 - acc: 0.0268 - val_loss: 4.6259 - val_acc: 0.0192 Epoch 10/40 6660/6680 [============================>.] - ETA: 55s - loss: 4.6174 - acc: 0.1000 - ETA: 49s - loss: 4.6417 - acc: 0.0500 - ETA: 49s - loss: 4.6454 - acc: 0.0500 - ETA: 48s - loss: 4.5985 - acc: 0.0375 - ETA: 48s - loss: 4.6077 - acc: 0.0300 - ETA: 47s - loss: 4.6008 - acc: 0.0333 - ETA: 47s - loss: 4.5989 - acc: 0.0286 - ETA: 47s - loss: 4.5891 - acc: 0.0250 - ETA: 47s - loss: 4.5891 - acc: 0.0278 - ETA: 46s - loss: 4.5888 - acc: 0.0300 - ETA: 47s - loss: 4.5934 - acc: 0.0273 - ETA: 46s - loss: 4.6135 - acc: 0.0292 - ETA: 46s - loss: 4.6001 - acc: 0.0269 - ETA: 46s - loss: 4.6045 - acc: 0.0250 - ETA: 46s - loss: 4.6126 - acc: 0.0233 - ETA: 46s - loss: 4.6115 - acc: 0.0219 - ETA: 46s - loss: 4.6053 - acc: 0.0206 - ETA: 45s - loss: 4.6206 - acc: 0.0194 - ETA: 45s - loss: 4.6144 - acc: 0.0211 - ETA: 45s - loss: 4.6153 - acc: 0.0200 - ETA: 45s - loss: 4.6150 - acc: 0.0190 - ETA: 45s - loss: 4.6172 - acc: 0.0182 - ETA: 45s - loss: 4.6100 - acc: 0.0196 - ETA: 44s - loss: 4.6087 - acc: 0.0188 - ETA: 44s - loss: 4.6014 - acc: 0.0220 - ETA: 44s - loss: 4.6029 - acc: 0.0212 - ETA: 44s - loss: 4.6025 - acc: 0.0222 - ETA: 44s - loss: 4.5995 - acc: 0.0232 - ETA: 44s - loss: 4.5945 - acc: 0.0224 - ETA: 43s - loss: 4.5930 - acc: 0.0233 - ETA: 43s - loss: 4.5914 - acc: 0.0226 - ETA: 43s - loss: 4.5919 - acc: 0.0234 - ETA: 43s - loss: 4.5893 - acc: 0.0242 - ETA: 43s - loss: 4.5879 - acc: 0.0250 - ETA: 43s - loss: 4.5827 - acc: 0.0257 - ETA: 43s - loss: 4.5722 - acc: 0.0264 - ETA: 43s - loss: 4.5655 - acc: 0.0257 - ETA: 42s - loss: 4.5732 - acc: 0.0250 - ETA: 42s - loss: 4.5700 - acc: 0.0244 - ETA: 42s - loss: 4.5737 - acc: 0.0238 - ETA: 42s - loss: 4.5788 - acc: 0.0232 - ETA: 42s - loss: 4.5770 - acc: 0.0238 - ETA: 42s - loss: 4.5734 - acc: 0.0233 - ETA: 42s - loss: 4.5742 - acc: 0.0227 - ETA: 41s - loss: 4.5721 - acc: 0.0233 - ETA: 41s - loss: 4.5720 - acc: 0.0228 - ETA: 41s - loss: 4.5813 - acc: 0.0223 - ETA: 41s - loss: 4.5839 - acc: 0.0219 - ETA: 41s - loss: 4.5847 - acc: 0.0214 - ETA: 41s - loss: 4.5863 - acc: 0.0220 - ETA: 40s - loss: 4.5863 - acc: 0.0216 - ETA: 40s - loss: 4.5845 - acc: 0.0221 - ETA: 40s - loss: 4.5840 - acc: 0.0217 - ETA: 40s - loss: 4.5838 - acc: 0.0231 - ETA: 40s - loss: 4.5838 - acc: 0.0227 - ETA: 40s - loss: 4.5860 - acc: 0.0232 - ETA: 40s - loss: 4.5916 - acc: 0.0228 - ETA: 39s - loss: 4.5931 - acc: 0.0224 - ETA: 39s - loss: 4.5923 - acc: 0.0229 - ETA: 39s - loss: 4.5920 - acc: 0.0225 - ETA: 39s - loss: 4.5914 - acc: 0.0246 - ETA: 39s - loss: 4.5904 - acc: 0.0250 - ETA: 39s - loss: 4.5942 - acc: 0.0246 - ETA: 39s - loss: 4.5905 - acc: 0.0242 - ETA: 38s - loss: 4.5853 - acc: 0.0246 - ETA: 38s - loss: 4.5935 - acc: 0.0242 - ETA: 38s - loss: 4.5939 - acc: 0.0246 - ETA: 38s - loss: 4.5901 - acc: 0.0243 - ETA: 38s - loss: 4.5891 - acc: 0.0254 - ETA: 38s - loss: 4.5875 - acc: 0.0257 - ETA: 38s - loss: 4.5868 - acc: 0.0254 - ETA: 38s - loss: 4.5892 - acc: 0.0250 - ETA: 37s - loss: 4.5887 - acc: 0.0247 - ETA: 37s - loss: 4.5897 - acc: 0.0243 - ETA: 37s - loss: 4.6054 - acc: 0.0240 - ETA: 37s - loss: 4.6058 - acc: 0.0250 - ETA: 37s - loss: 4.6041 - acc: 0.0247 - ETA: 37s - loss: 4.6052 - acc: 0.0244 - ETA: 37s - loss: 4.6084 - acc: 0.0247 - ETA: 36s - loss: 4.6057 - acc: 0.0250 - ETA: 36s - loss: 4.6070 - acc: 0.0253 - ETA: 36s - loss: 4.6041 - acc: 0.0250 - ETA: 36s - loss: 4.6017 - acc: 0.0247 - ETA: 36s - loss: 4.5991 - acc: 0.0250 - ETA: 36s - loss: 4.5973 - acc: 0.0253 - ETA: 35s - loss: 4.5963 - acc: 0.0256 - ETA: 35s - loss: 4.5959 - acc: 0.0259 - ETA: 35s - loss: 4.5937 - acc: 0.0267 - ETA: 35s - loss: 4.5915 - acc: 0.0270 - ETA: 35s - loss: 4.5916 - acc: 0.0272 - ETA: 35s - loss: 4.5916 - acc: 0.0275 - ETA: 35s - loss: 4.5921 - acc: 0.0272 - ETA: 34s - loss: 4.5916 - acc: 0.0280 - ETA: 34s - loss: 4.5909 - acc: 0.0277 - ETA: 34s - loss: 4.5899 - acc: 0.0274 - ETA: 34s - loss: 4.5920 - acc: 0.0271 - ETA: 34s - loss: 4.5925 - acc: 0.0268 - ETA: 34s - loss: 4.5922 - acc: 0.0265 - ETA: 34s - loss: 4.5910 - acc: 0.0268 - ETA: 33s - loss: 4.5902 - acc: 0.0265 - ETA: 33s - loss: 4.5925 - acc: 0.0262 - ETA: 33s - loss: 4.5903 - acc: 0.0270 - ETA: 33s - loss: 4.5914 - acc: 0.0267 - ETA: 33s - loss: 4.5901 - acc: 0.0269 - ETA: 33s - loss: 4.5893 - acc: 0.0267 - ETA: 33s - loss: 4.5881 - acc: 0.0269 - ETA: 32s - loss: 4.5904 - acc: 0.0266 - ETA: 32s - loss: 4.5900 - acc: 0.0264 - ETA: 32s - loss: 4.5918 - acc: 0.0261 - ETA: 32s - loss: 4.5915 - acc: 0.0259 - ETA: 32s - loss: 4.5920 - acc: 0.0261 - ETA: 32s - loss: 4.5935 - acc: 0.0259 - ETA: 32s - loss: 4.5927 - acc: 0.0261 - ETA: 31s - loss: 4.5921 - acc: 0.0259 - ETA: 31s - loss: 4.5925 - acc: 0.0265 - ETA: 31s - loss: 4.5907 - acc: 0.0272 - ETA: 31s - loss: 4.5937 - acc: 0.0269 - ETA: 31s - loss: 4.5949 - acc: 0.0267 - ETA: 31s - loss: 4.5937 - acc: 0.0269 - ETA: 31s - loss: 4.5940 - acc: 0.0267 - ETA: 30s - loss: 4.5955 - acc: 0.0269 - ETA: 30s - loss: 4.5945 - acc: 0.0275 - ETA: 30s - loss: 4.5951 - acc: 0.0280 - ETA: 30s - loss: 4.5951 - acc: 0.0282 - ETA: 30s - loss: 4.5957 - acc: 0.0284 - ETA: 30s - loss: 4.5965 - acc: 0.0282 - ETA: 30s - loss: 4.5956 - acc: 0.0280 - ETA: 29s - loss: 4.5963 - acc: 0.0277 - ETA: 29s - loss: 4.5970 - acc: 0.0279 - ETA: 29s - loss: 4.5964 - acc: 0.0281 - ETA: 29s - loss: 4.5947 - acc: 0.0282 - ETA: 29s - loss: 4.5942 - acc: 0.0288 - ETA: 29s - loss: 4.5937 - acc: 0.0286 - ETA: 29s - loss: 4.5948 - acc: 0.0284 - ETA: 28s - loss: 4.5931 - acc: 0.0281 - ETA: 28s - loss: 4.5963 - acc: 0.0283 - ETA: 28s - loss: 4.5963 - acc: 0.0281 - ETA: 28s - loss: 4.5969 - acc: 0.0286 - ETA: 28s - loss: 4.5959 - acc: 0.0284 - ETA: 28s - loss: 4.5967 - acc: 0.0282 - ETA: 28s - loss: 4.5995 - acc: 0.0280 - ETA: 27s - loss: 4.5984 - acc: 0.0282 - ETA: 27s - loss: 4.5963 - acc: 0.0280 - ETA: 27s - loss: 4.5985 - acc: 0.0281 - ETA: 27s - loss: 4.5978 - acc: 0.0279 - ETA: 27s - loss: 4.5980 - acc: 0.0277 - ETA: 27s - loss: 4.5987 - acc: 0.0276 - ETA: 27s - loss: 4.5986 - acc: 0.0277 - ETA: 26s - loss: 4.5977 - acc: 0.0279 - ETA: 26s - loss: 4.5969 - acc: 0.0280 - ETA: 26s - loss: 4.5990 - acc: 0.0278 - ETA: 26s - loss: 4.5986 - acc: 0.0283 - ETA: 26s - loss: 4.5983 - acc: 0.0284 - ETA: 26s - loss: 4.5985 - acc: 0.0282 - ETA: 26s - loss: 4.5989 - acc: 0.0281 - ETA: 25s - loss: 4.6002 - acc: 0.0282 - ETA: 25s - loss: 4.5995 - acc: 0.0283 - ETA: 25s - loss: 4.6006 - acc: 0.0285 - ETA: 25s - loss: 4.6008 - acc: 0.0283 - ETA: 25s - loss: 4.6010 - acc: 0.0281 - ETA: 25s - loss: 4.6024 - acc: 0.0280 - ETA: 25s - loss: 4.6012 - acc: 0.0278 - ETA: 24s - loss: 4.6020 - acc: 0.0276 - ETA: 24s - loss: 4.6020 - acc: 0.0274 - ETA: 24s - loss: 4.6021 - acc: 0.0279 - ETA: 24s - loss: 4.6023 - acc: 0.0277 - ETA: 24s - loss: 4.6024 - acc: 0.0275 - ETA: 24s - loss: 4.6031 - acc: 0.0277 - ETA: 23s - loss: 4.6028 - acc: 0.0275 - ETA: 23s - loss: 4.6025 - acc: 0.0279 - ETA: 23s - loss: 4.6019 - acc: 0.0278 - ETA: 23s - loss: 4.6007 - acc: 0.0279 - ETA: 23s - loss: 4.6018 - acc: 0.0283 - ETA: 23s - loss: 4.6013 - acc: 0.0284 - ETA: 23s - loss: 4.6009 - acc: 0.0283 - ETA: 22s - loss: 4.6007 - acc: 0.0284 - ETA: 22s - loss: 4.5993 - acc: 0.0285 - ETA: 22s - loss: 4.5992 - acc: 0.0284 - ETA: 22s - loss: 4.6033 - acc: 0.0282 - ETA: 22s - loss: 4.6036 - acc: 0.0283 - ETA: 22s - loss: 4.6041 - acc: 0.0285 - ETA: 22s - loss: 4.6042 - acc: 0.0283 - ETA: 21s - loss: 4.6049 - acc: 0.0287 - ETA: 21s - loss: 4.6048 - acc: 0.0288 - ETA: 21s - loss: 4.6045 - acc: 0.0289 - ETA: 21s - loss: 4.6048 - acc: 0.0290 - ETA: 21s - loss: 4.6038 - acc: 0.0289 - ETA: 21s - loss: 4.6032 - acc: 0.0287 - ETA: 21s - loss: 4.6035 - acc: 0.0286 - ETA: 20s - loss: 4.6033 - acc: 0.0284 - ETA: 20s - loss: 4.6241 - acc: 0.0283 - ETA: 20s - loss: 4.6251 - acc: 0.0281 - ETA: 20s - loss: 4.6252 - acc: 0.0280 - ETA: 20s - loss: 4.6240 - acc: 0.0281 - ETA: 20s - loss: 4.6234 - acc: 0.0282 - ETA: 20s - loss: 4.6228 - acc: 0.0283 - ETA: 19s - loss: 4.6237 - acc: 0.0282 - ETA: 19s - loss: 4.6229 - acc: 0.0280 - ETA: 19s - loss: 4.6240 - acc: 0.0279 - ETA: 19s - loss: 4.6234 - acc: 0.0278 - ETA: 19s - loss: 4.6250 - acc: 0.0276 - ETA: 19s - loss: 4.6252 - acc: 0.0275 - ETA: 19s - loss: 4.6256 - acc: 0.0273 - ETA: 18s - loss: 4.6261 - acc: 0.0272 - ETA: 18s - loss: 4.6254 - acc: 0.0271 - ETA: 18s - loss: 4.6257 - acc: 0.0269 - ETA: 18s - loss: 4.6251 - acc: 0.0271 - ETA: 18s - loss: 4.6245 - acc: 0.0272 - ETA: 18s - loss: 4.6246 - acc: 0.0270 - ETA: 18s - loss: 4.6249 - acc: 0.0269 - ETA: 17s - loss: 4.6236 - acc: 0.0268 - ETA: 17s - loss: 4.6233 - acc: 0.0269 - ETA: 17s - loss: 4.6240 - acc: 0.0268 - ETA: 17s - loss: 4.6238 - acc: 0.0269 - ETA: 17s - loss: 4.6241 - acc: 0.0267 - ETA: 17s - loss: 4.6243 - acc: 0.0266 - ETA: 17s - loss: 4.6235 - acc: 0.0267 - ETA: 16s - loss: 4.6227 - acc: 0.0266 - ETA: 16s - loss: 4.6221 - acc: 0.0265 - ETA: 16s - loss: 4.6225 - acc: 0.0264 - ETA: 16s - loss: 4.6224 - acc: 0.0262 - ETA: 16s - loss: 4.6219 - acc: 0.0261 - ETA: 16s - loss: 4.6213 - acc: 0.0265 - ETA: 15s - loss: 4.6209 - acc: 0.0266 - ETA: 15s - loss: 4.6212 - acc: 0.0264 - ETA: 15s - loss: 4.6211 - acc: 0.0263 - ETA: 15s - loss: 4.6223 - acc: 0.0264 - ETA: 15s - loss: 4.6225 - acc: 0.0263 - ETA: 15s - loss: 4.6234 - acc: 0.0262 - ETA: 15s - loss: 4.6223 - acc: 0.0263 - ETA: 14s - loss: 4.6230 - acc: 0.0262 - ETA: 14s - loss: 4.6229 - acc: 0.0265 - ETA: 14s - loss: 4.6219 - acc: 0.0266 - ETA: 14s - loss: 4.6214 - acc: 0.0267 - ETA: 14s - loss: 4.6213 - acc: 0.0268 - ETA: 14s - loss: 4.6212 - acc: 0.0267 - ETA: 14s - loss: 4.6209 - acc: 0.0266 - ETA: 13s - loss: 4.6212 - acc: 0.0265 - ETA: 13s - loss: 4.6215 - acc: 0.0264 - ETA: 13s - loss: 4.6211 - acc: 0.0265 - ETA: 13s - loss: 4.6208 - acc: 0.0263 - ETA: 13s - loss: 4.6201 - acc: 0.0262 - ETA: 13s - loss: 4.6203 - acc: 0.0261 - ETA: 13s - loss: 4.6204 - acc: 0.0260 - ETA: 12s - loss: 4.6207 - acc: 0.0259 - ETA: 12s - loss: 4.6217 - acc: 0.0260 - ETA: 12s - loss: 4.6217 - acc: 0.0259 - ETA: 12s - loss: 4.6219 - acc: 0.0258 - ETA: 12s - loss: 4.6225 - acc: 0.0257 - ETA: 12s - loss: 4.6220 - acc: 0.0258 - ETA: 12s - loss: 4.6218 - acc: 0.0259 - ETA: 11s - loss: 4.6221 - acc: 0.0258 - ETA: 11s - loss: 4.6222 - acc: 0.0257 - ETA: 11s - loss: 4.6216 - acc: 0.0256 - ETA: 11s - loss: 4.6219 - acc: 0.0257 - ETA: 11s - loss: 4.6217 - acc: 0.0256 - ETA: 11s - loss: 4.6223 - acc: 0.0255 - ETA: 11s - loss: 4.6224 - acc: 0.0256 - ETA: 10s - loss: 4.6218 - acc: 0.0257 - ETA: 10s - loss: 4.6211 - acc: 0.0256 - ETA: 10s - loss: 4.6203 - acc: 0.0257 - ETA: 10s - loss: 4.6195 - acc: 0.0256 - ETA: 10s - loss: 4.6189 - acc: 0.0259 - ETA: 10s - loss: 4.6189 - acc: 0.0258 - ETA: 10s - loss: 4.6187 - acc: 0.0257 - ETA: 9s - loss: 4.6180 - acc: 0.0258 - ETA: 9s - loss: 4.6182 - acc: 0.0258 - ETA: 9s - loss: 4.6185 - acc: 0.0259 - ETA: 9s - loss: 4.6186 - acc: 0.0258 - ETA: 9s - loss: 4.6182 - acc: 0.0261 - ETA: 9s - loss: 4.6178 - acc: 0.0262 - ETA: 8s - loss: 4.6184 - acc: 0.0261 - ETA: 8s - loss: 4.6184 - acc: 0.0262 - ETA: 8s - loss: 4.6188 - acc: 0.0261 - ETA: 8s - loss: 4.6193 - acc: 0.0262 - ETA: 8s - loss: 4.6186 - acc: 0.0263 - ETA: 8s - loss: 4.6186 - acc: 0.0264 - ETA: 8s - loss: 4.6188 - acc: 0.0263 - ETA: 7s - loss: 4.6189 - acc: 0.0262 - ETA: 7s - loss: 4.6187 - acc: 0.0263 - ETA: 7s - loss: 4.6193 - acc: 0.0262 - ETA: 7s - loss: 4.6194 - acc: 0.0261 - ETA: 7s - loss: 4.6190 - acc: 0.0261 - ETA: 7s - loss: 4.6193 - acc: 0.0262 - ETA: 7s - loss: 4.6193 - acc: 0.0261 - ETA: 6s - loss: 4.6194 - acc: 0.0264 - ETA: 6s - loss: 4.6187 - acc: 0.0263 - ETA: 6s - loss: 4.6188 - acc: 0.0262 - ETA: 6s - loss: 4.6195 - acc: 0.0263 - ETA: 6s - loss: 4.6194 - acc: 0.0262 - ETA: 6s - loss: 4.6188 - acc: 0.0263 - ETA: 6s - loss: 4.6192 - acc: 0.0262 - ETA: 5s - loss: 4.6188 - acc: 0.0261 - ETA: 5s - loss: 4.6182 - acc: 0.0262 - ETA: 5s - loss: 4.6174 - acc: 0.0261 - ETA: 5s - loss: 4.6171 - acc: 0.0260 - ETA: 5s - loss: 4.6169 - acc: 0.0259 - ETA: 5s - loss: 4.6159 - acc: 0.0260 - ETA: 5s - loss: 4.6166 - acc: 0.0259 - ETA: 4s - loss: 4.6167 - acc: 0.0258 - ETA: 4s - loss: 4.6160 - acc: 0.0259 - ETA: 4s - loss: 4.6169 - acc: 0.0258 - ETA: 4s - loss: 4.6181 - acc: 0.0257 - ETA: 4s - loss: 4.6180 - acc: 0.0257 - ETA: 4s - loss: 4.6191 - acc: 0.0256 - ETA: 4s - loss: 4.6191 - acc: 0.0258 - ETA: 3s - loss: 4.6190 - acc: 0.0257 - ETA: 3s - loss: 4.6183 - acc: 0.0258 - ETA: 3s - loss: 4.6182 - acc: 0.0257 - ETA: 3s - loss: 4.6190 - acc: 0.0256 - ETA: 3s - loss: 4.6198 - acc: 0.0256 - ETA: 3s - loss: 4.6198 - acc: 0.0255 - ETA: 3s - loss: 4.6192 - acc: 0.0256 - ETA: 2s - loss: 4.6188 - acc: 0.0255 - ETA: 2s - loss: 4.6184 - acc: 0.0257 - ETA: 2s - loss: 4.6186 - acc: 0.0256 - ETA: 2s - loss: 4.6184 - acc: 0.0256 - ETA: 2s - loss: 4.6180 - acc: 0.0256 - ETA: 2s - loss: 4.6182 - acc: 0.0255 - ETA: 2s - loss: 4.6182 - acc: 0.0256 - ETA: 1s - loss: 4.6185 - acc: 0.0257 - ETA: 1s - loss: 4.6187 - acc: 0.0256 - ETA: 1s - loss: 4.6178 - acc: 0.0257 - ETA: 1s - loss: 4.6174 - acc: 0.0256 - ETA: 1s - loss: 4.6165 - acc: 0.0258 - ETA: 1s - loss: 4.6157 - acc: 0.0259 - ETA: 1s - loss: 4.6188 - acc: 0.0260 - ETA: 0s - loss: 4.6183 - acc: 0.0259 - ETA: 0s - loss: 4.6190 - acc: 0.0258 - ETA: 0s - loss: 4.6193 - acc: 0.0258 - ETA: 0s - loss: 4.6192 - acc: 0.0260 - ETA: 0s - loss: 4.6198 - acc: 0.0259 - ETA: 0s - loss: 4.6200 - acc: 0.0260Epoch 00009: val_loss improved from 4.62590 to 4.57887, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.6257 - acc: 0.0259 - val_loss: 4.5789 - val_acc: 0.0311 Epoch 11/40 6660/6680 [============================>.] - ETA: 45s - loss: 4.5050 - acc: 0.0500 - ETA: 47s - loss: 4.4982 - acc: 0.0250 - ETA: 48s - loss: 4.5535 - acc: 0.0167 - ETA: 47s - loss: 4.5741 - acc: 0.0125 - ETA: 48s - loss: 4.5885 - acc: 0.0100 - ETA: 47s - loss: 4.5680 - acc: 0.0083 - ETA: 47s - loss: 4.5947 - acc: 0.0143 - ETA: 47s - loss: 4.6024 - acc: 0.0125 - ETA: 47s - loss: 4.5835 - acc: 0.0278 - ETA: 46s - loss: 4.6229 - acc: 0.0250 - ETA: 46s - loss: 4.6087 - acc: 0.0273 - ETA: 46s - loss: 4.5803 - acc: 0.0333 - ETA: 46s - loss: 4.5737 - acc: 0.0308 - ETA: 46s - loss: 4.5972 - acc: 0.0286 - ETA: 45s - loss: 4.5978 - acc: 0.0333 - ETA: 45s - loss: 4.6150 - acc: 0.0313 - ETA: 45s - loss: 4.6215 - acc: 0.0294 - ETA: 45s - loss: 4.6251 - acc: 0.0278 - ETA: 45s - loss: 4.6125 - acc: 0.0263 - ETA: 45s - loss: 4.6143 - acc: 0.0250 - ETA: 45s - loss: 4.6094 - acc: 0.0238 - ETA: 44s - loss: 4.6054 - acc: 0.0227 - ETA: 44s - loss: 4.6016 - acc: 0.0239 - ETA: 44s - loss: 4.6046 - acc: 0.0250 - ETA: 44s - loss: 4.6042 - acc: 0.0240 - ETA: 44s - loss: 4.6072 - acc: 0.0231 - ETA: 44s - loss: 4.5943 - acc: 0.0241 - ETA: 43s - loss: 4.5929 - acc: 0.0250 - ETA: 43s - loss: 4.5849 - acc: 0.0276 - ETA: 43s - loss: 4.5922 - acc: 0.0267 - ETA: 43s - loss: 4.5928 - acc: 0.0274 - ETA: 43s - loss: 4.5880 - acc: 0.0281 - ETA: 43s - loss: 4.5806 - acc: 0.0303 - ETA: 43s - loss: 4.5718 - acc: 0.0294 - ETA: 43s - loss: 4.5794 - acc: 0.0286 - ETA: 42s - loss: 4.5824 - acc: 0.0292 - ETA: 42s - loss: 4.5870 - acc: 0.0284 - ETA: 42s - loss: 4.5858 - acc: 0.0276 - ETA: 42s - loss: 4.5828 - acc: 0.0269 - ETA: 42s - loss: 4.5837 - acc: 0.0263 - ETA: 42s - loss: 4.5841 - acc: 0.0256 - ETA: 42s - loss: 4.5875 - acc: 0.0250 - ETA: 42s - loss: 4.5876 - acc: 0.0244 - ETA: 41s - loss: 4.5908 - acc: 0.0239 - ETA: 41s - loss: 4.5912 - acc: 0.0233 - ETA: 41s - loss: 4.5901 - acc: 0.0228 - ETA: 41s - loss: 4.5819 - acc: 0.0255 - ETA: 41s - loss: 4.5812 - acc: 0.0250 - ETA: 41s - loss: 4.5756 - acc: 0.0255 - ETA: 40s - loss: 4.5697 - acc: 0.0250 - ETA: 40s - loss: 4.5725 - acc: 0.0245 - ETA: 40s - loss: 4.5768 - acc: 0.0250 - ETA: 40s - loss: 4.5802 - acc: 0.0255 - ETA: 40s - loss: 4.5779 - acc: 0.0269 - ETA: 40s - loss: 4.5774 - acc: 0.0264 - ETA: 40s - loss: 4.5763 - acc: 0.0268 - ETA: 39s - loss: 4.5740 - acc: 0.0272 - ETA: 39s - loss: 4.5768 - acc: 0.0267 - ETA: 39s - loss: 4.5808 - acc: 0.0263 - ETA: 39s - loss: 4.5841 - acc: 0.0258 - ETA: 39s - loss: 4.5883 - acc: 0.0254 - ETA: 39s - loss: 4.5880 - acc: 0.0258 - ETA: 39s - loss: 4.5842 - acc: 0.0262 - ETA: 39s - loss: 4.5822 - acc: 0.0266 - ETA: 38s - loss: 4.5803 - acc: 0.0262 - ETA: 38s - loss: 4.5812 - acc: 0.0265 - ETA: 38s - loss: 4.5768 - acc: 0.0284 - ETA: 38s - loss: 4.5714 - acc: 0.0279 - ETA: 38s - loss: 4.5746 - acc: 0.0275 - ETA: 38s - loss: 4.5763 - acc: 0.0271 - ETA: 38s - loss: 4.5748 - acc: 0.0268 - ETA: 37s - loss: 4.5765 - acc: 0.0264 - ETA: 37s - loss: 4.5784 - acc: 0.0267 - ETA: 37s - loss: 4.5774 - acc: 0.0264 - ETA: 37s - loss: 4.5770 - acc: 0.0260 - ETA: 37s - loss: 4.5743 - acc: 0.0276 - ETA: 37s - loss: 4.5778 - acc: 0.0273 - ETA: 37s - loss: 4.5766 - acc: 0.0269 - ETA: 36s - loss: 4.5755 - acc: 0.0272 - ETA: 36s - loss: 4.5717 - acc: 0.0294 - ETA: 36s - loss: 4.5709 - acc: 0.0290 - ETA: 36s - loss: 4.5701 - acc: 0.0293 - ETA: 36s - loss: 4.5700 - acc: 0.0289 - ETA: 36s - loss: 4.5678 - acc: 0.0286 - ETA: 36s - loss: 4.5674 - acc: 0.0282 - ETA: 36s - loss: 4.5655 - acc: 0.0291 - ETA: 35s - loss: 4.5662 - acc: 0.0287 - ETA: 35s - loss: 4.5670 - acc: 0.0290 - ETA: 35s - loss: 4.5646 - acc: 0.0287 - ETA: 35s - loss: 4.5659 - acc: 0.0294 - ETA: 35s - loss: 4.5699 - acc: 0.0291 - ETA: 35s - loss: 4.5668 - acc: 0.0288 - ETA: 35s - loss: 4.5658 - acc: 0.0290 - ETA: 34s - loss: 4.5659 - acc: 0.0287 - ETA: 34s - loss: 4.5641 - acc: 0.0284 - ETA: 34s - loss: 4.5679 - acc: 0.0286 - ETA: 34s - loss: 4.5670 - acc: 0.0289 - ETA: 34s - loss: 4.5691 - acc: 0.0286 - ETA: 34s - loss: 4.5717 - acc: 0.0283 - ETA: 34s - loss: 4.5718 - acc: 0.0285 - ETA: 33s - loss: 4.5736 - acc: 0.0282 - ETA: 33s - loss: 4.5722 - acc: 0.0284 - ETA: 33s - loss: 4.5711 - acc: 0.0282 - ETA: 33s - loss: 4.5735 - acc: 0.0279 - ETA: 33s - loss: 4.5763 - acc: 0.0276 - ETA: 33s - loss: 4.5764 - acc: 0.0283 - ETA: 33s - loss: 4.5814 - acc: 0.0280 - ETA: 32s - loss: 4.5841 - acc: 0.0278 - ETA: 32s - loss: 4.5830 - acc: 0.0275 - ETA: 32s - loss: 4.5842 - acc: 0.0273 - ETA: 32s - loss: 4.5844 - acc: 0.0275 - ETA: 32s - loss: 4.5849 - acc: 0.0272 - ETA: 32s - loss: 4.5828 - acc: 0.0279 - ETA: 32s - loss: 4.5825 - acc: 0.0276 - ETA: 31s - loss: 4.5815 - acc: 0.0274 - ETA: 31s - loss: 4.5819 - acc: 0.0272 - ETA: 31s - loss: 4.5813 - acc: 0.0269 - ETA: 31s - loss: 4.5807 - acc: 0.0271 - ETA: 31s - loss: 4.5823 - acc: 0.0269 - ETA: 31s - loss: 4.5834 - acc: 0.0267 - ETA: 30s - loss: 4.5845 - acc: 0.0277 - ETA: 30s - loss: 4.5832 - acc: 0.0279 - ETA: 30s - loss: 4.5824 - acc: 0.0285 - ETA: 30s - loss: 4.5816 - acc: 0.0286 - ETA: 30s - loss: 4.5798 - acc: 0.0292 - ETA: 30s - loss: 4.5790 - acc: 0.0294 - ETA: 30s - loss: 4.5793 - acc: 0.0295 - ETA: 29s - loss: 4.5797 - acc: 0.0305 - ETA: 29s - loss: 4.5782 - acc: 0.0306 - ETA: 29s - loss: 4.5780 - acc: 0.0304 - ETA: 29s - loss: 4.5816 - acc: 0.0305 - ETA: 29s - loss: 4.5804 - acc: 0.0303 - ETA: 29s - loss: 4.5797 - acc: 0.0301 - ETA: 29s - loss: 4.5793 - acc: 0.0299 - ETA: 28s - loss: 4.5771 - acc: 0.0300 - ETA: 28s - loss: 4.5752 - acc: 0.0305 - ETA: 28s - loss: 4.5761 - acc: 0.0303 - ETA: 28s - loss: 4.5777 - acc: 0.0301 - ETA: 28s - loss: 4.5772 - acc: 0.0299 - ETA: 28s - loss: 4.5772 - acc: 0.0304 - ETA: 28s - loss: 4.5776 - acc: 0.0305 - ETA: 27s - loss: 4.5777 - acc: 0.0303 - ETA: 27s - loss: 4.5771 - acc: 0.0301 - ETA: 27s - loss: 4.5776 - acc: 0.0299 - ETA: 27s - loss: 4.5750 - acc: 0.0303 - ETA: 27s - loss: 4.5745 - acc: 0.0305 - ETA: 27s - loss: 4.5749 - acc: 0.0303 - ETA: 27s - loss: 4.5741 - acc: 0.0304 - ETA: 26s - loss: 4.5718 - acc: 0.0305 - ETA: 26s - loss: 4.5699 - acc: 0.0307 - ETA: 26s - loss: 4.5671 - acc: 0.0311 - ETA: 26s - loss: 4.5694 - acc: 0.0309 - ETA: 26s - loss: 4.5694 - acc: 0.0307 - ETA: 26s - loss: 4.5683 - acc: 0.0312 - ETA: 26s - loss: 4.5695 - acc: 0.0310 - ETA: 25s - loss: 4.5712 - acc: 0.0308 - ETA: 25s - loss: 4.5705 - acc: 0.0306 - ETA: 25s - loss: 4.5707 - acc: 0.0304 - ETA: 25s - loss: 4.5699 - acc: 0.0305 - ETA: 25s - loss: 4.5702 - acc: 0.0303 - ETA: 25s - loss: 4.5708 - acc: 0.0304 - ETA: 24s - loss: 4.5699 - acc: 0.0306 - ETA: 24s - loss: 4.5708 - acc: 0.0307 - ETA: 24s - loss: 4.5723 - acc: 0.0305 - ETA: 24s - loss: 4.5721 - acc: 0.0303 - ETA: 24s - loss: 4.5724 - acc: 0.0301 - ETA: 24s - loss: 4.5713 - acc: 0.0302 - ETA: 24s - loss: 4.5712 - acc: 0.0304 - ETA: 23s - loss: 4.5716 - acc: 0.0302 - ETA: 23s - loss: 4.5707 - acc: 0.0303 - ETA: 23s - loss: 4.5714 - acc: 0.0304 - ETA: 23s - loss: 4.5719 - acc: 0.0302 - ETA: 23s - loss: 4.5727 - acc: 0.0303 - ETA: 23s - loss: 4.5727 - acc: 0.0305 - ETA: 23s - loss: 4.5723 - acc: 0.0303 - ETA: 22s - loss: 4.5735 - acc: 0.0304 - ETA: 22s - loss: 4.5724 - acc: 0.0302 - ETA: 22s - loss: 4.5718 - acc: 0.0306 - ETA: 22s - loss: 4.5739 - acc: 0.0307 - ETA: 22s - loss: 4.5741 - acc: 0.0306 - ETA: 22s - loss: 4.5745 - acc: 0.0309 - ETA: 22s - loss: 4.5744 - acc: 0.0313 - ETA: 21s - loss: 4.5747 - acc: 0.0311 - ETA: 21s - loss: 4.5735 - acc: 0.0310 - ETA: 21s - loss: 4.5738 - acc: 0.0308 - ETA: 21s - loss: 4.5740 - acc: 0.0306 - ETA: 21s - loss: 4.5738 - acc: 0.0305 - ETA: 21s - loss: 4.5754 - acc: 0.0303 - ETA: 21s - loss: 4.5743 - acc: 0.0307 - ETA: 20s - loss: 4.5736 - acc: 0.0305 - ETA: 20s - loss: 4.5721 - acc: 0.0306 - ETA: 20s - loss: 4.5713 - acc: 0.0305 - ETA: 20s - loss: 4.5722 - acc: 0.0306 - ETA: 20s - loss: 4.5716 - acc: 0.0304 - ETA: 20s - loss: 4.5712 - acc: 0.0305 - ETA: 20s - loss: 4.5716 - acc: 0.0304 - ETA: 19s - loss: 4.5720 - acc: 0.0302 - ETA: 19s - loss: 4.5719 - acc: 0.0301 - ETA: 19s - loss: 4.5717 - acc: 0.0302 - ETA: 19s - loss: 4.5706 - acc: 0.0303 - ETA: 19s - loss: 4.5708 - acc: 0.0303 - ETA: 19s - loss: 4.5697 - acc: 0.0307 - ETA: 19s - loss: 4.5695 - acc: 0.0308 - ETA: 18s - loss: 4.5686 - acc: 0.0311 - ETA: 18s - loss: 4.5672 - acc: 0.0310 - ETA: 18s - loss: 4.5672 - acc: 0.0308 - ETA: 18s - loss: 4.5682 - acc: 0.0307 - ETA: 18s - loss: 4.5672 - acc: 0.0305 - ETA: 18s - loss: 4.5668 - acc: 0.0306 - ETA: 18s - loss: 4.5676 - acc: 0.0305 - ETA: 17s - loss: 4.5675 - acc: 0.0303 - ETA: 17s - loss: 4.5680 - acc: 0.0302 - ETA: 17s - loss: 4.5664 - acc: 0.0312 - ETA: 17s - loss: 4.5677 - acc: 0.0311 - ETA: 17s - loss: 4.5680 - acc: 0.0312 - ETA: 17s - loss: 4.5680 - acc: 0.0313 - ETA: 16s - loss: 4.5683 - acc: 0.0311 - ETA: 16s - loss: 4.5683 - acc: 0.0310 - ETA: 16s - loss: 4.5678 - acc: 0.0308 - ETA: 16s - loss: 4.5682 - acc: 0.0307 - ETA: 16s - loss: 4.5682 - acc: 0.0308 - ETA: 16s - loss: 4.5682 - acc: 0.0311 - ETA: 16s - loss: 4.5687 - acc: 0.0309 - ETA: 15s - loss: 4.5694 - acc: 0.0308 - ETA: 15s - loss: 4.5684 - acc: 0.0309 - ETA: 15s - loss: 4.5677 - acc: 0.0308 - ETA: 15s - loss: 4.5672 - acc: 0.0306 - ETA: 15s - loss: 4.5665 - acc: 0.0305 - ETA: 15s - loss: 4.5688 - acc: 0.0303 - ETA: 15s - loss: 4.5696 - acc: 0.0304 - ETA: 14s - loss: 4.5700 - acc: 0.0303 - ETA: 14s - loss: 4.5709 - acc: 0.0302 - ETA: 14s - loss: 4.5705 - acc: 0.0303 - ETA: 14s - loss: 4.5697 - acc: 0.0301 - ETA: 14s - loss: 4.5707 - acc: 0.0300 - ETA: 14s - loss: 4.5712 - acc: 0.0299 - ETA: 14s - loss: 4.5716 - acc: 0.0297 - ETA: 13s - loss: 4.5710 - acc: 0.0298 - ETA: 13s - loss: 4.5711 - acc: 0.0297 - ETA: 13s - loss: 4.5705 - acc: 0.0296 - ETA: 13s - loss: 4.5707 - acc: 0.0297 - ETA: 13s - loss: 4.5709 - acc: 0.0298 - ETA: 13s - loss: 4.5707 - acc: 0.0296 - ETA: 13s - loss: 4.5706 - acc: 0.0295 - ETA: 12s - loss: 4.5708 - acc: 0.0294 - ETA: 12s - loss: 4.5703 - acc: 0.0293 - ETA: 12s - loss: 4.5708 - acc: 0.0291 - ETA: 12s - loss: 4.5714 - acc: 0.0294 - ETA: 12s - loss: 4.5713 - acc: 0.0295 - ETA: 12s - loss: 4.5706 - acc: 0.0296 - ETA: 12s - loss: 4.5702 - acc: 0.0295 - ETA: 11s - loss: 4.5700 - acc: 0.0294 - ETA: 11s - loss: 4.5704 - acc: 0.0292 - ETA: 11s - loss: 4.5714 - acc: 0.0295 - ETA: 11s - loss: 4.5709 - acc: 0.0300 - ETA: 11s - loss: 4.5710 - acc: 0.0299 - ETA: 11s - loss: 4.5707 - acc: 0.0300 - ETA: 11s - loss: 4.5704 - acc: 0.0298 - ETA: 10s - loss: 4.5697 - acc: 0.0299 - ETA: 10s - loss: 4.5692 - acc: 0.0298 - ETA: 10s - loss: 4.5686 - acc: 0.0299 - ETA: 10s - loss: 4.5686 - acc: 0.0298 - ETA: 10s - loss: 4.5689 - acc: 0.0297 - ETA: 10s - loss: 4.5690 - acc: 0.0295 - ETA: 9s - loss: 4.5690 - acc: 0.0294 - ETA: 9s - loss: 4.5684 - acc: 0.0297 - ETA: 9s - loss: 4.5692 - acc: 0.0298 - ETA: 9s - loss: 4.5689 - acc: 0.0297 - ETA: 9s - loss: 4.5688 - acc: 0.0296 - ETA: 9s - loss: 4.5681 - acc: 0.0294 - ETA: 9s - loss: 4.5689 - acc: 0.0295 - ETA: 8s - loss: 4.5681 - acc: 0.0298 - ETA: 8s - loss: 4.5688 - acc: 0.0297 - ETA: 8s - loss: 4.5686 - acc: 0.0297 - ETA: 8s - loss: 4.5692 - acc: 0.0296 - ETA: 8s - loss: 4.5695 - acc: 0.0295 - ETA: 8s - loss: 4.5689 - acc: 0.0294 - ETA: 8s - loss: 4.5696 - acc: 0.0295 - ETA: 7s - loss: 4.5696 - acc: 0.0294 - ETA: 7s - loss: 4.5697 - acc: 0.0293 - ETA: 7s - loss: 4.5694 - acc: 0.0295 - ETA: 7s - loss: 4.5689 - acc: 0.0294 - ETA: 7s - loss: 4.5673 - acc: 0.0297 - ETA: 7s - loss: 4.5678 - acc: 0.0296 - ETA: 7s - loss: 4.5673 - acc: 0.0295 - ETA: 6s - loss: 4.5677 - acc: 0.0295 - ETA: 6s - loss: 4.5684 - acc: 0.0296 - ETA: 6s - loss: 4.5685 - acc: 0.0299 - ETA: 6s - loss: 4.5685 - acc: 0.0298 - ETA: 6s - loss: 4.5688 - acc: 0.0297 - ETA: 6s - loss: 4.5739 - acc: 0.0296 - ETA: 6s - loss: 4.5741 - acc: 0.0296 - ETA: 5s - loss: 4.5749 - acc: 0.0295 - ETA: 5s - loss: 4.5757 - acc: 0.0296 - ETA: 5s - loss: 4.5758 - acc: 0.0297 - ETA: 5s - loss: 4.5762 - acc: 0.0296 - ETA: 5s - loss: 4.5755 - acc: 0.0296 - ETA: 5s - loss: 4.5752 - acc: 0.0295 - ETA: 5s - loss: 4.5749 - acc: 0.0294 - ETA: 4s - loss: 4.5750 - acc: 0.0293 - ETA: 4s - loss: 4.5742 - acc: 0.0292 - ETA: 4s - loss: 4.5743 - acc: 0.0291 - ETA: 4s - loss: 4.5737 - acc: 0.0292 - ETA: 4s - loss: 4.5738 - acc: 0.0291 - ETA: 4s - loss: 4.5744 - acc: 0.0290 - ETA: 4s - loss: 4.5736 - acc: 0.0292 - ETA: 3s - loss: 4.5727 - acc: 0.0295 - ETA: 3s - loss: 4.5744 - acc: 0.0295 - ETA: 3s - loss: 4.5746 - acc: 0.0294 - ETA: 3s - loss: 4.5743 - acc: 0.0294 - ETA: 3s - loss: 4.5747 - acc: 0.0293 - ETA: 3s - loss: 4.5742 - acc: 0.0293 - ETA: 3s - loss: 4.5746 - acc: 0.0292 - ETA: 2s - loss: 4.5738 - acc: 0.0295 - ETA: 2s - loss: 4.5739 - acc: 0.0294 - ETA: 2s - loss: 4.5738 - acc: 0.0293 - ETA: 2s - loss: 4.5747 - acc: 0.0292 - ETA: 2s - loss: 4.5741 - acc: 0.0294 - ETA: 2s - loss: 4.5737 - acc: 0.0296 - ETA: 2s - loss: 4.5736 - acc: 0.0295 - ETA: 1s - loss: 4.5736 - acc: 0.0296 - ETA: 1s - loss: 4.5725 - acc: 0.0297 - ETA: 1s - loss: 4.5716 - acc: 0.0297 - ETA: 1s - loss: 4.5717 - acc: 0.0298 - ETA: 1s - loss: 4.5714 - acc: 0.0297 - ETA: 1s - loss: 4.5707 - acc: 0.0296 - ETA: 1s - loss: 4.5702 - acc: 0.0295 - ETA: 0s - loss: 4.5697 - acc: 0.0297 - ETA: 0s - loss: 4.5696 - acc: 0.0296 - ETA: 0s - loss: 4.5702 - acc: 0.0295 - ETA: 0s - loss: 4.5708 - acc: 0.0295 - ETA: 0s - loss: 4.5702 - acc: 0.0297 - ETA: 0s - loss: 4.5713 - acc: 0.0296Epoch 00010: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 4.5714 - acc: 0.0295 - val_loss: 4.6093 - val_acc: 0.0359 Epoch 12/40 6660/6680 [============================>.] - ETA: 49s - loss: 4.8104 - acc: 0.0000e+00 - ETA: 47s - loss: 4.7876 - acc: 0.0250 - ETA: 47s - loss: 4.7677 - acc: 0.0333 - ETA: 47s - loss: 4.6743 - acc: 0.0250 - ETA: 47s - loss: 4.6207 - acc: 0.0200 - ETA: 47s - loss: 4.6061 - acc: 0.0250 - ETA: 46s - loss: 4.6429 - acc: 0.0214 - ETA: 46s - loss: 4.5809 - acc: 0.0313 - ETA: 46s - loss: 4.5656 - acc: 0.0333 - ETA: 46s - loss: 4.5453 - acc: 0.0400 - ETA: 45s - loss: 4.5319 - acc: 0.0364 - ETA: 45s - loss: 4.5366 - acc: 0.0375 - ETA: 45s - loss: 4.5601 - acc: 0.0346 - ETA: 45s - loss: 4.5261 - acc: 0.0429 - ETA: 45s - loss: 4.5248 - acc: 0.0433 - ETA: 45s - loss: 4.5298 - acc: 0.0406 - ETA: 45s - loss: 4.5330 - acc: 0.0382 - ETA: 45s - loss: 4.5162 - acc: 0.0417 - ETA: 45s - loss: 4.5256 - acc: 0.0421 - ETA: 45s - loss: 4.5206 - acc: 0.0425 - ETA: 44s - loss: 4.5338 - acc: 0.0405 - ETA: 44s - loss: 4.5338 - acc: 0.0409 - ETA: 44s - loss: 4.5350 - acc: 0.0391 - ETA: 44s - loss: 4.5414 - acc: 0.0396 - ETA: 44s - loss: 4.5532 - acc: 0.0380 - ETA: 43s - loss: 4.5554 - acc: 0.0385 - ETA: 43s - loss: 4.5511 - acc: 0.0370 - ETA: 43s - loss: 4.5553 - acc: 0.0357 - ETA: 43s - loss: 4.5544 - acc: 0.0345 - ETA: 43s - loss: 4.5541 - acc: 0.0333 - ETA: 43s - loss: 4.5455 - acc: 0.0371 - ETA: 43s - loss: 4.5398 - acc: 0.0359 - ETA: 43s - loss: 4.5359 - acc: 0.0379 - ETA: 43s - loss: 4.5396 - acc: 0.0368 - ETA: 43s - loss: 4.5403 - acc: 0.0371 - ETA: 42s - loss: 4.5351 - acc: 0.0389 - ETA: 42s - loss: 4.5358 - acc: 0.0392 - ETA: 42s - loss: 4.5255 - acc: 0.0408 - ETA: 42s - loss: 4.5253 - acc: 0.0423 - ETA: 42s - loss: 4.5266 - acc: 0.0413 - ETA: 42s - loss: 4.5212 - acc: 0.0415 - ETA: 42s - loss: 4.5237 - acc: 0.0405 - ETA: 42s - loss: 4.5253 - acc: 0.0419 - ETA: 41s - loss: 4.5280 - acc: 0.0420 - ETA: 41s - loss: 4.5238 - acc: 0.0422 - ETA: 41s - loss: 4.5222 - acc: 0.0413 - ETA: 41s - loss: 4.5209 - acc: 0.0404 - ETA: 41s - loss: 4.5271 - acc: 0.0406 - ETA: 41s - loss: 4.5269 - acc: 0.0398 - ETA: 40s - loss: 4.5237 - acc: 0.0390 - ETA: 40s - loss: 4.5205 - acc: 0.0402 - ETA: 40s - loss: 4.5186 - acc: 0.0404 - ETA: 40s - loss: 4.5213 - acc: 0.0396 - ETA: 40s - loss: 4.5192 - acc: 0.0389 - ETA: 40s - loss: 4.5170 - acc: 0.0391 - ETA: 40s - loss: 4.5188 - acc: 0.0393 - ETA: 39s - loss: 4.5148 - acc: 0.0386 - ETA: 39s - loss: 4.5144 - acc: 0.0379 - ETA: 39s - loss: 4.5143 - acc: 0.0373 - ETA: 39s - loss: 4.5120 - acc: 0.0375 - ETA: 39s - loss: 4.5126 - acc: 0.0377 - ETA: 39s - loss: 4.5111 - acc: 0.0379 - ETA: 39s - loss: 4.5113 - acc: 0.0373 - ETA: 39s - loss: 4.5052 - acc: 0.0375 - ETA: 38s - loss: 4.5020 - acc: 0.0385 - ETA: 38s - loss: 4.5025 - acc: 0.0386 - ETA: 38s - loss: 4.5013 - acc: 0.0388 - ETA: 38s - loss: 4.5092 - acc: 0.0382 - ETA: 38s - loss: 4.5166 - acc: 0.0377 - ETA: 38s - loss: 4.5108 - acc: 0.0386 - ETA: 37s - loss: 4.5098 - acc: 0.0387 - ETA: 37s - loss: 4.5142 - acc: 0.0382 - ETA: 37s - loss: 4.5153 - acc: 0.0384 - ETA: 37s - loss: 4.5175 - acc: 0.0378 - ETA: 37s - loss: 4.5169 - acc: 0.0373 - ETA: 37s - loss: 4.5172 - acc: 0.0368 - ETA: 37s - loss: 4.5170 - acc: 0.0364 - ETA: 36s - loss: 4.5171 - acc: 0.0359 - ETA: 36s - loss: 4.5141 - acc: 0.0361 - ETA: 36s - loss: 4.5145 - acc: 0.0363 - ETA: 36s - loss: 4.5154 - acc: 0.0358 - ETA: 36s - loss: 4.5137 - acc: 0.0360 - ETA: 36s - loss: 4.5135 - acc: 0.0355 - ETA: 36s - loss: 4.5126 - acc: 0.0357 - ETA: 36s - loss: 4.5154 - acc: 0.0353 - ETA: 35s - loss: 4.5128 - acc: 0.0355 - ETA: 35s - loss: 4.5162 - acc: 0.0351 - ETA: 35s - loss: 4.5187 - acc: 0.0347 - ETA: 35s - loss: 4.5203 - acc: 0.0343 - ETA: 35s - loss: 4.5223 - acc: 0.0339 - ETA: 35s - loss: 4.5266 - acc: 0.0335 - ETA: 35s - loss: 4.5263 - acc: 0.0337 - ETA: 34s - loss: 4.5268 - acc: 0.0333 - ETA: 34s - loss: 4.5270 - acc: 0.0335 - ETA: 34s - loss: 4.5263 - acc: 0.0332 - ETA: 34s - loss: 4.5250 - acc: 0.0333 - ETA: 34s - loss: 4.5272 - acc: 0.0335 - ETA: 34s - loss: 4.5274 - acc: 0.0337 - ETA: 34s - loss: 4.5264 - acc: 0.0333 - ETA: 33s - loss: 4.5253 - acc: 0.0330 - ETA: 33s - loss: 4.5240 - acc: 0.0337 - ETA: 33s - loss: 4.5215 - acc: 0.0343 - ETA: 33s - loss: 4.5195 - acc: 0.0340 - ETA: 33s - loss: 4.5212 - acc: 0.0337 - ETA: 33s - loss: 4.5207 - acc: 0.0333 - ETA: 33s - loss: 4.5197 - acc: 0.0335 - ETA: 32s - loss: 4.5204 - acc: 0.0336 - ETA: 32s - loss: 4.5211 - acc: 0.0333 - ETA: 32s - loss: 4.5227 - acc: 0.0335 - ETA: 32s - loss: 4.5221 - acc: 0.0336 - ETA: 32s - loss: 4.5221 - acc: 0.0333 - ETA: 32s - loss: 4.5237 - acc: 0.0330 - ETA: 31s - loss: 4.5232 - acc: 0.0327 - ETA: 31s - loss: 4.5241 - acc: 0.0325 - ETA: 31s - loss: 4.5245 - acc: 0.0322 - ETA: 31s - loss: 4.5241 - acc: 0.0319 - ETA: 31s - loss: 4.5243 - acc: 0.0316 - ETA: 31s - loss: 4.5224 - acc: 0.0318 - ETA: 31s - loss: 4.5243 - acc: 0.0315 - ETA: 30s - loss: 4.5240 - acc: 0.0321 - ETA: 30s - loss: 4.5250 - acc: 0.0322 - ETA: 30s - loss: 4.5247 - acc: 0.0320 - ETA: 30s - loss: 4.5259 - acc: 0.0317 - ETA: 30s - loss: 4.5249 - acc: 0.0319 - ETA: 30s - loss: 4.5226 - acc: 0.0320 - ETA: 30s - loss: 4.5212 - acc: 0.0317 - ETA: 29s - loss: 4.5186 - acc: 0.0315 - ETA: 29s - loss: 4.5168 - acc: 0.0313 - ETA: 29s - loss: 4.5211 - acc: 0.0310 - ETA: 29s - loss: 4.5199 - acc: 0.0308 - ETA: 29s - loss: 4.5169 - acc: 0.0305 - ETA: 29s - loss: 4.5188 - acc: 0.0303 - ETA: 29s - loss: 4.5184 - acc: 0.0305 - ETA: 28s - loss: 4.5174 - acc: 0.0306 - ETA: 28s - loss: 4.5204 - acc: 0.0304 - ETA: 28s - loss: 4.5229 - acc: 0.0301 - ETA: 28s - loss: 4.5220 - acc: 0.0303 - ETA: 28s - loss: 4.5206 - acc: 0.0304 - ETA: 28s - loss: 4.5219 - acc: 0.0302 - ETA: 28s - loss: 4.5179 - acc: 0.0307 - ETA: 27s - loss: 4.5197 - acc: 0.0305 - ETA: 27s - loss: 4.5177 - acc: 0.0306 - ETA: 27s - loss: 4.5185 - acc: 0.0304 - ETA: 27s - loss: 4.5184 - acc: 0.0309 - ETA: 27s - loss: 4.5173 - acc: 0.0310 - ETA: 27s - loss: 4.5176 - acc: 0.0308 - ETA: 27s - loss: 4.5164 - acc: 0.0310 - ETA: 26s - loss: 4.5165 - acc: 0.0307 - ETA: 26s - loss: 4.5168 - acc: 0.0312 - ETA: 26s - loss: 4.5183 - acc: 0.0313 - ETA: 26s - loss: 4.5200 - acc: 0.0311 - ETA: 26s - loss: 4.5179 - acc: 0.0309 - ETA: 26s - loss: 4.5182 - acc: 0.0307 - ETA: 26s - loss: 4.5172 - acc: 0.0305 - ETA: 25s - loss: 4.5152 - acc: 0.0303 - ETA: 25s - loss: 4.5156 - acc: 0.0308 - ETA: 25s - loss: 4.5140 - acc: 0.0309 - ETA: 25s - loss: 4.5138 - acc: 0.0310 - ETA: 25s - loss: 4.5154 - acc: 0.0308 - ETA: 25s - loss: 4.5149 - acc: 0.0313 - ETA: 25s - loss: 4.5155 - acc: 0.0311 - ETA: 24s - loss: 4.5163 - acc: 0.0309 - ETA: 24s - loss: 4.5161 - acc: 0.0307 - ETA: 24s - loss: 4.5154 - acc: 0.0305 - ETA: 24s - loss: 4.5146 - acc: 0.0303 - ETA: 24s - loss: 4.5131 - acc: 0.0304 - ETA: 24s - loss: 4.5125 - acc: 0.0305 - ETA: 23s - loss: 4.5132 - acc: 0.0304 - ETA: 23s - loss: 4.5121 - acc: 0.0305 - ETA: 23s - loss: 4.5106 - acc: 0.0306 - ETA: 23s - loss: 4.5138 - acc: 0.0304 - ETA: 23s - loss: 4.5149 - acc: 0.0305 - ETA: 23s - loss: 4.5150 - acc: 0.0303 - ETA: 23s - loss: 4.5148 - acc: 0.0307 - ETA: 22s - loss: 4.5150 - acc: 0.0306 - ETA: 22s - loss: 4.5148 - acc: 0.0304 - ETA: 22s - loss: 4.5162 - acc: 0.0308 - ETA: 22s - loss: 4.5156 - acc: 0.0306 - ETA: 22s - loss: 4.5149 - acc: 0.0304 - ETA: 22s - loss: 4.5138 - acc: 0.0306 - ETA: 22s - loss: 4.5145 - acc: 0.0307 - ETA: 21s - loss: 4.5157 - acc: 0.0308 - ETA: 21s - loss: 4.5168 - acc: 0.0306 - ETA: 21s - loss: 4.5168 - acc: 0.0304 - ETA: 21s - loss: 4.5147 - acc: 0.0305 - ETA: 21s - loss: 4.5155 - acc: 0.0304 - ETA: 21s - loss: 4.5151 - acc: 0.0305 - ETA: 21s - loss: 4.5150 - acc: 0.0309 - ETA: 20s - loss: 4.5140 - acc: 0.0310 - ETA: 20s - loss: 4.5131 - acc: 0.0311 - ETA: 20s - loss: 4.5139 - acc: 0.0309 - ETA: 20s - loss: 4.5135 - acc: 0.0307 - ETA: 20s - loss: 4.5136 - acc: 0.0306 - ETA: 20s - loss: 4.5128 - acc: 0.0307 - ETA: 20s - loss: 4.5121 - acc: 0.0308 - ETA: 19s - loss: 4.5123 - acc: 0.0309 - ETA: 19s - loss: 4.5116 - acc: 0.0307 - ETA: 19s - loss: 4.5132 - acc: 0.0308 - ETA: 19s - loss: 4.5121 - acc: 0.0314 - ETA: 19s - loss: 4.5107 - acc: 0.0318 - ETA: 19s - loss: 4.5111 - acc: 0.0318 - ETA: 19s - loss: 4.5115 - acc: 0.0319 - ETA: 18s - loss: 4.5121 - acc: 0.0318 - ETA: 18s - loss: 4.5122 - acc: 0.0316 - ETA: 18s - loss: 4.5123 - acc: 0.0320 - ETA: 18s - loss: 4.5131 - acc: 0.0318 - ETA: 18s - loss: 4.5125 - acc: 0.0316 - ETA: 18s - loss: 4.5132 - acc: 0.0315 - ETA: 18s - loss: 4.5122 - acc: 0.0316 - ETA: 17s - loss: 4.5119 - acc: 0.0317 - ETA: 17s - loss: 4.5099 - acc: 0.0315 - ETA: 17s - loss: 4.5095 - acc: 0.0314 - ETA: 17s - loss: 4.5094 - acc: 0.0315 - ETA: 17s - loss: 4.5108 - acc: 0.0318 - ETA: 17s - loss: 4.5110 - acc: 0.0323 - ETA: 17s - loss: 4.5104 - acc: 0.0322 - ETA: 16s - loss: 4.5103 - acc: 0.0323 - ETA: 16s - loss: 4.5101 - acc: 0.0326 - ETA: 16s - loss: 4.5098 - acc: 0.0324 - ETA: 16s - loss: 4.5103 - acc: 0.0323 - ETA: 16s - loss: 4.5096 - acc: 0.0324 - ETA: 16s - loss: 4.5108 - acc: 0.0322 - ETA: 16s - loss: 4.5102 - acc: 0.0321 - ETA: 15s - loss: 4.5088 - acc: 0.0321 - ETA: 15s - loss: 4.5072 - acc: 0.0320 - ETA: 15s - loss: 4.5081 - acc: 0.0323 - ETA: 15s - loss: 4.5076 - acc: 0.0322 - ETA: 15s - loss: 4.5071 - acc: 0.0325 - ETA: 15s - loss: 4.5074 - acc: 0.0323 - ETA: 15s - loss: 4.5084 - acc: 0.0322 - ETA: 14s - loss: 4.5099 - acc: 0.0323 - ETA: 14s - loss: 4.5097 - acc: 0.0321 - ETA: 14s - loss: 4.5092 - acc: 0.0322 - ETA: 14s - loss: 4.5083 - acc: 0.0321 - ETA: 14s - loss: 4.5082 - acc: 0.0319 - ETA: 14s - loss: 4.5084 - acc: 0.0318 - ETA: 14s - loss: 4.5087 - acc: 0.0316 - ETA: 13s - loss: 4.5075 - acc: 0.0315 - ETA: 13s - loss: 4.5055 - acc: 0.0318 - ETA: 13s - loss: 4.5056 - acc: 0.0321 - ETA: 13s - loss: 4.5043 - acc: 0.0322 - ETA: 13s - loss: 4.5029 - acc: 0.0326 - ETA: 13s - loss: 4.5042 - acc: 0.0327 - ETA: 12s - loss: 4.5036 - acc: 0.0326 - ETA: 12s - loss: 4.5051 - acc: 0.0324 - ETA: 12s - loss: 4.5071 - acc: 0.0325 - ETA: 12s - loss: 4.5063 - acc: 0.0330 - ETA: 12s - loss: 4.5057 - acc: 0.0331 - ETA: 12s - loss: 4.5046 - acc: 0.0329 - ETA: 12s - loss: 4.5034 - acc: 0.0332 - ETA: 11s - loss: 4.5056 - acc: 0.0333 - ETA: 11s - loss: 4.5054 - acc: 0.0335 - ETA: 11s - loss: 4.5061 - acc: 0.0334 - ETA: 11s - loss: 4.5049 - acc: 0.0339 - ETA: 11s - loss: 4.5056 - acc: 0.0337 - ETA: 11s - loss: 4.5061 - acc: 0.0338 - ETA: 11s - loss: 4.5047 - acc: 0.0337 - ETA: 10s - loss: 4.5051 - acc: 0.0335 - ETA: 10s - loss: 4.5053 - acc: 0.0334 - ETA: 10s - loss: 4.5051 - acc: 0.0338 - ETA: 10s - loss: 4.5049 - acc: 0.0339 - ETA: 10s - loss: 4.5044 - acc: 0.0338 - ETA: 10s - loss: 4.5045 - acc: 0.0337 - ETA: 10s - loss: 4.5041 - acc: 0.0335 - ETA: 9s - loss: 4.5040 - acc: 0.0338 - ETA: 9s - loss: 4.5030 - acc: 0.0338 - ETA: 9s - loss: 4.5023 - acc: 0.0343 - ETA: 9s - loss: 4.5019 - acc: 0.0341 - ETA: 9s - loss: 4.5017 - acc: 0.0342 - ETA: 9s - loss: 4.5028 - acc: 0.0341 - ETA: 9s - loss: 4.5028 - acc: 0.0339 - ETA: 8s - loss: 4.5025 - acc: 0.0338 - ETA: 8s - loss: 4.5015 - acc: 0.0337 - ETA: 8s - loss: 4.5016 - acc: 0.0338 - ETA: 8s - loss: 4.5020 - acc: 0.0336 - ETA: 8s - loss: 4.5043 - acc: 0.0335 - ETA: 8s - loss: 4.5055 - acc: 0.0336 - ETA: 8s - loss: 4.5051 - acc: 0.0335 - ETA: 7s - loss: 4.5057 - acc: 0.0335 - ETA: 7s - loss: 4.5057 - acc: 0.0336 - ETA: 7s - loss: 4.5056 - acc: 0.0336 - ETA: 7s - loss: 4.5059 - acc: 0.0335 - ETA: 7s - loss: 4.5056 - acc: 0.0334 - ETA: 7s - loss: 4.5053 - acc: 0.0333 - ETA: 7s - loss: 4.5052 - acc: 0.0333 - ETA: 6s - loss: 4.5055 - acc: 0.0334 - ETA: 6s - loss: 4.5050 - acc: 0.0334 - ETA: 6s - loss: 4.5052 - acc: 0.0333 - ETA: 6s - loss: 4.5047 - acc: 0.0334 - ETA: 6s - loss: 4.5048 - acc: 0.0334 - ETA: 6s - loss: 4.5055 - acc: 0.0333 - ETA: 6s - loss: 4.5051 - acc: 0.0334 - ETA: 5s - loss: 4.5038 - acc: 0.0336 - ETA: 5s - loss: 4.5032 - acc: 0.0335 - ETA: 5s - loss: 4.5037 - acc: 0.0334 - ETA: 5s - loss: 4.5036 - acc: 0.0334 - ETA: 5s - loss: 4.5047 - acc: 0.0335 - ETA: 5s - loss: 4.5046 - acc: 0.0336 - ETA: 5s - loss: 4.5054 - acc: 0.0334 - ETA: 4s - loss: 4.5062 - acc: 0.0335 - ETA: 4s - loss: 4.5068 - acc: 0.0336 - ETA: 4s - loss: 4.5059 - acc: 0.0336 - ETA: 4s - loss: 4.5040 - acc: 0.0337 - ETA: 4s - loss: 4.5029 - acc: 0.0336 - ETA: 4s - loss: 4.5028 - acc: 0.0338 - ETA: 4s - loss: 4.5022 - acc: 0.0342 - ETA: 3s - loss: 4.5027 - acc: 0.0340 - ETA: 3s - loss: 4.5021 - acc: 0.0339 - ETA: 3s - loss: 4.5021 - acc: 0.0340 - ETA: 3s - loss: 4.5021 - acc: 0.0340 - ETA: 3s - loss: 4.5024 - acc: 0.0341 - ETA: 3s - loss: 4.5020 - acc: 0.0341 - ETA: 3s - loss: 4.5021 - acc: 0.0340 - ETA: 2s - loss: 4.5021 - acc: 0.0342 - ETA: 2s - loss: 4.5029 - acc: 0.0343 - ETA: 2s - loss: 4.5027 - acc: 0.0342 - ETA: 2s - loss: 4.5031 - acc: 0.0341 - ETA: 2s - loss: 4.5029 - acc: 0.0340 - ETA: 2s - loss: 4.5025 - acc: 0.0340 - ETA: 2s - loss: 4.5031 - acc: 0.0341 - ETA: 1s - loss: 4.5028 - acc: 0.0341 - ETA: 1s - loss: 4.5031 - acc: 0.0342 - ETA: 1s - loss: 4.5033 - acc: 0.0341 - ETA: 1s - loss: 4.5039 - acc: 0.0341 - ETA: 1s - loss: 4.5041 - acc: 0.0340 - ETA: 1s - loss: 4.5036 - acc: 0.0339 - ETA: 1s - loss: 4.5036 - acc: 0.0339 - ETA: 0s - loss: 4.5032 - acc: 0.0338 - ETA: 0s - loss: 4.5042 - acc: 0.0340 - ETA: 0s - loss: 4.5037 - acc: 0.0341 - ETA: 0s - loss: 4.5034 - acc: 0.0341 - ETA: 0s - loss: 4.5036 - acc: 0.0340 - ETA: 0s - loss: 4.5038 - acc: 0.0344Epoch 00011: val_loss improved from 4.57887 to 4.43726, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.5036 - acc: 0.0344 - val_loss: 4.4373 - val_acc: 0.0311 Epoch 13/40 6660/6680 [============================>.] - ETA: 45s - loss: 4.4900 - acc: 0.0500 - ETA: 47s - loss: 4.5537 - acc: 0.0250 - ETA: 48s - loss: 4.5863 - acc: 0.0167 - ETA: 47s - loss: 4.4849 - acc: 0.0250 - ETA: 47s - loss: 4.4282 - acc: 0.0300 - ETA: 46s - loss: 4.3856 - acc: 0.0417 - ETA: 46s - loss: 4.3769 - acc: 0.0429 - ETA: 47s - loss: 4.3799 - acc: 0.0375 - ETA: 46s - loss: 4.3622 - acc: 0.0444 - ETA: 46s - loss: 4.3607 - acc: 0.0450 - ETA: 46s - loss: 4.3490 - acc: 0.0409 - ETA: 46s - loss: 4.3603 - acc: 0.0417 - ETA: 45s - loss: 4.3564 - acc: 0.0385 - ETA: 45s - loss: 4.3461 - acc: 0.0429 - ETA: 45s - loss: 4.3665 - acc: 0.0400 - ETA: 45s - loss: 4.3709 - acc: 0.0406 - ETA: 45s - loss: 4.3779 - acc: 0.0412 - ETA: 45s - loss: 4.3910 - acc: 0.0417 - ETA: 45s - loss: 4.3919 - acc: 0.0421 - ETA: 44s - loss: 4.3917 - acc: 0.0425 - ETA: 44s - loss: 4.3936 - acc: 0.0405 - ETA: 44s - loss: 4.4067 - acc: 0.0386 - ETA: 44s - loss: 4.4115 - acc: 0.0370 - ETA: 44s - loss: 4.4158 - acc: 0.0375 - ETA: 44s - loss: 4.4096 - acc: 0.0400 - ETA: 44s - loss: 4.4187 - acc: 0.0385 - ETA: 44s - loss: 4.4139 - acc: 0.0389 - ETA: 44s - loss: 4.4044 - acc: 0.0411 - ETA: 43s - loss: 4.4100 - acc: 0.0397 - ETA: 43s - loss: 4.4044 - acc: 0.0433 - ETA: 43s - loss: 4.4135 - acc: 0.0419 - ETA: 43s - loss: 4.4138 - acc: 0.0438 - ETA: 43s - loss: 4.4191 - acc: 0.0424 - ETA: 43s - loss: 4.4125 - acc: 0.0441 - ETA: 43s - loss: 4.4123 - acc: 0.0443 - ETA: 42s - loss: 4.4133 - acc: 0.0444 - ETA: 42s - loss: 4.4111 - acc: 0.0432 - ETA: 42s - loss: 4.4149 - acc: 0.0434 - ETA: 42s - loss: 4.4157 - acc: 0.0436 - ETA: 42s - loss: 4.4041 - acc: 0.0450 - ETA: 42s - loss: 4.4030 - acc: 0.0439 - ETA: 41s - loss: 4.4071 - acc: 0.0429 - ETA: 41s - loss: 4.4002 - acc: 0.0430 - ETA: 41s - loss: 4.3969 - acc: 0.0443 - ETA: 41s - loss: 4.3976 - acc: 0.0444 - ETA: 41s - loss: 4.4013 - acc: 0.0446 - ETA: 41s - loss: 4.4021 - acc: 0.0447 - ETA: 41s - loss: 4.3965 - acc: 0.0438 - ETA: 40s - loss: 4.3957 - acc: 0.0429 - ETA: 40s - loss: 4.3989 - acc: 0.0420 - ETA: 40s - loss: 4.4016 - acc: 0.0422 - ETA: 40s - loss: 4.3983 - acc: 0.0423 - ETA: 40s - loss: 4.4049 - acc: 0.0415 - ETA: 40s - loss: 4.4029 - acc: 0.0407 - ETA: 40s - loss: 4.4091 - acc: 0.0400 - ETA: 40s - loss: 4.4093 - acc: 0.0402 - ETA: 39s - loss: 4.4089 - acc: 0.0412 - ETA: 39s - loss: 4.4103 - acc: 0.0414 - ETA: 39s - loss: 4.4131 - acc: 0.0407 - ETA: 39s - loss: 4.4116 - acc: 0.0400 - ETA: 39s - loss: 4.4158 - acc: 0.0402 - ETA: 39s - loss: 4.4166 - acc: 0.0395 - ETA: 39s - loss: 4.4199 - acc: 0.0397 - ETA: 38s - loss: 4.4214 - acc: 0.0391 - ETA: 38s - loss: 4.4233 - acc: 0.0385 - ETA: 38s - loss: 4.4234 - acc: 0.0386 - ETA: 38s - loss: 4.4268 - acc: 0.0381 - ETA: 38s - loss: 4.4271 - acc: 0.0390 - ETA: 38s - loss: 4.4301 - acc: 0.0391 - ETA: 38s - loss: 4.4326 - acc: 0.0386 - ETA: 37s - loss: 4.4301 - acc: 0.0394 - ETA: 37s - loss: 4.4329 - acc: 0.0389 - ETA: 37s - loss: 4.4374 - acc: 0.0390 - ETA: 37s - loss: 4.4370 - acc: 0.0385 - ETA: 37s - loss: 4.4382 - acc: 0.0380 - ETA: 37s - loss: 4.4353 - acc: 0.0382 - ETA: 37s - loss: 4.4321 - acc: 0.0390 - ETA: 36s - loss: 4.4340 - acc: 0.0391 - ETA: 36s - loss: 4.4380 - acc: 0.0386 - ETA: 36s - loss: 4.4348 - acc: 0.0394 - ETA: 36s - loss: 4.4369 - acc: 0.0395 - ETA: 36s - loss: 4.4344 - acc: 0.0396 - ETA: 36s - loss: 4.4353 - acc: 0.0398 - ETA: 36s - loss: 4.4354 - acc: 0.0393 - ETA: 35s - loss: 4.4385 - acc: 0.0394 - ETA: 35s - loss: 4.4384 - acc: 0.0395 - ETA: 35s - loss: 4.4367 - acc: 0.0402 - ETA: 35s - loss: 4.4381 - acc: 0.0409 - ETA: 35s - loss: 4.4348 - acc: 0.0410 - ETA: 35s - loss: 4.4362 - acc: 0.0411 - ETA: 35s - loss: 4.4374 - acc: 0.0412 - ETA: 34s - loss: 4.4368 - acc: 0.0408 - ETA: 34s - loss: 4.4382 - acc: 0.0403 - ETA: 34s - loss: 4.4372 - acc: 0.0399 - ETA: 34s - loss: 4.4356 - acc: 0.0395 - ETA: 34s - loss: 4.4348 - acc: 0.0391 - ETA: 34s - loss: 4.4324 - acc: 0.0392 - ETA: 34s - loss: 4.4319 - acc: 0.0398 - ETA: 33s - loss: 4.4309 - acc: 0.0394 - ETA: 33s - loss: 4.4295 - acc: 0.0390 - ETA: 33s - loss: 4.4302 - acc: 0.0386 - ETA: 33s - loss: 4.4288 - acc: 0.0382 - ETA: 33s - loss: 4.4289 - acc: 0.0379 - ETA: 33s - loss: 4.4289 - acc: 0.0394 - ETA: 33s - loss: 4.4294 - acc: 0.0390 - ETA: 32s - loss: 4.4257 - acc: 0.0387 - ETA: 32s - loss: 4.4288 - acc: 0.0393 - ETA: 32s - loss: 4.4325 - acc: 0.0389 - ETA: 32s - loss: 4.4337 - acc: 0.0394 - ETA: 32s - loss: 4.4329 - acc: 0.0391 - ETA: 32s - loss: 4.4303 - acc: 0.0392 - ETA: 32s - loss: 4.4285 - acc: 0.0393 - ETA: 31s - loss: 4.4313 - acc: 0.0394 - ETA: 31s - loss: 4.4296 - acc: 0.0390 - ETA: 31s - loss: 4.4265 - acc: 0.0400 - ETA: 31s - loss: 4.4276 - acc: 0.0405 - ETA: 31s - loss: 4.4278 - acc: 0.0402 - ETA: 31s - loss: 4.4283 - acc: 0.0398 - ETA: 31s - loss: 4.4279 - acc: 0.0403 - ETA: 30s - loss: 4.4281 - acc: 0.0400 - ETA: 30s - loss: 4.4289 - acc: 0.0397 - ETA: 30s - loss: 4.4278 - acc: 0.0398 - ETA: 30s - loss: 4.4301 - acc: 0.0394 - ETA: 30s - loss: 4.4266 - acc: 0.0395 - ETA: 30s - loss: 4.4273 - acc: 0.0396 - ETA: 30s - loss: 4.4278 - acc: 0.0397 - ETA: 29s - loss: 4.4299 - acc: 0.0394 - ETA: 29s - loss: 4.4301 - acc: 0.0395 - ETA: 29s - loss: 4.4276 - acc: 0.0391 - ETA: 29s - loss: 4.4234 - acc: 0.0392 - ETA: 29s - loss: 4.4251 - acc: 0.0389 - ETA: 29s - loss: 4.4264 - acc: 0.0390 - ETA: 28s - loss: 4.4272 - acc: 0.0387 - ETA: 28s - loss: 4.4276 - acc: 0.0388 - ETA: 28s - loss: 4.4254 - acc: 0.0385 - ETA: 28s - loss: 4.4265 - acc: 0.0382 - ETA: 28s - loss: 4.4260 - acc: 0.0383 - ETA: 28s - loss: 4.4254 - acc: 0.0384 - ETA: 28s - loss: 4.4253 - acc: 0.0385 - ETA: 28s - loss: 4.4248 - acc: 0.0386 - ETA: 27s - loss: 4.4240 - acc: 0.0387 - ETA: 27s - loss: 4.4246 - acc: 0.0387 - ETA: 27s - loss: 4.4262 - acc: 0.0385 - ETA: 27s - loss: 4.4263 - acc: 0.0389 - ETA: 27s - loss: 4.4258 - acc: 0.0390 - ETA: 27s - loss: 4.4257 - acc: 0.0390 - ETA: 26s - loss: 4.4266 - acc: 0.0388 - ETA: 26s - loss: 4.4250 - acc: 0.0389 - ETA: 26s - loss: 4.4249 - acc: 0.0386 - ETA: 26s - loss: 4.4261 - acc: 0.0387 - ETA: 26s - loss: 4.4256 - acc: 0.0397 - ETA: 26s - loss: 4.4261 - acc: 0.0398 - ETA: 26s - loss: 4.4254 - acc: 0.0399 - ETA: 25s - loss: 4.4237 - acc: 0.0403 - ETA: 25s - loss: 4.4235 - acc: 0.0403 - ETA: 25s - loss: 4.4217 - acc: 0.0401 - ETA: 25s - loss: 4.4247 - acc: 0.0398 - ETA: 25s - loss: 4.4266 - acc: 0.0396 - ETA: 25s - loss: 4.4276 - acc: 0.0393 - ETA: 25s - loss: 4.4291 - acc: 0.0394 - ETA: 24s - loss: 4.4300 - acc: 0.0394 - ETA: 24s - loss: 4.4312 - acc: 0.0392 - ETA: 24s - loss: 4.4317 - acc: 0.0390 - ETA: 24s - loss: 4.4284 - acc: 0.0396 - ETA: 24s - loss: 4.4269 - acc: 0.0397 - ETA: 24s - loss: 4.4263 - acc: 0.0398 - ETA: 24s - loss: 4.4244 - acc: 0.0404 - ETA: 23s - loss: 4.4249 - acc: 0.0405 - ETA: 23s - loss: 4.4240 - acc: 0.0405 - ETA: 23s - loss: 4.4236 - acc: 0.0406 - ETA: 23s - loss: 4.4229 - acc: 0.0406 - ETA: 23s - loss: 4.4215 - acc: 0.0404 - ETA: 23s - loss: 4.4226 - acc: 0.0402 - ETA: 23s - loss: 4.4216 - acc: 0.0402 - ETA: 22s - loss: 4.4211 - acc: 0.0400 - ETA: 22s - loss: 4.4222 - acc: 0.0398 - ETA: 22s - loss: 4.4231 - acc: 0.0395 - ETA: 22s - loss: 4.4250 - acc: 0.0393 - ETA: 22s - loss: 4.4262 - acc: 0.0391 - ETA: 22s - loss: 4.4261 - acc: 0.0389 - ETA: 22s - loss: 4.4263 - acc: 0.0387 - ETA: 21s - loss: 4.4276 - acc: 0.0385 - ETA: 21s - loss: 4.4271 - acc: 0.0383 - ETA: 21s - loss: 4.4273 - acc: 0.0380 - ETA: 21s - loss: 4.4286 - acc: 0.0381 - ETA: 21s - loss: 4.4273 - acc: 0.0379 - ETA: 21s - loss: 4.4271 - acc: 0.0380 - ETA: 21s - loss: 4.4281 - acc: 0.0378 - ETA: 20s - loss: 4.4294 - acc: 0.0378 - ETA: 20s - loss: 4.4317 - acc: 0.0379 - ETA: 20s - loss: 4.4335 - acc: 0.0380 - ETA: 20s - loss: 4.4327 - acc: 0.0380 - ETA: 20s - loss: 4.4327 - acc: 0.0381 - ETA: 20s - loss: 4.4340 - acc: 0.0379 - ETA: 20s - loss: 4.4332 - acc: 0.0382 - ETA: 19s - loss: 4.4341 - acc: 0.0380 - ETA: 19s - loss: 4.4359 - acc: 0.0378 - ETA: 19s - loss: 4.4366 - acc: 0.0376 - ETA: 19s - loss: 4.4367 - acc: 0.0374 - ETA: 19s - loss: 4.4369 - acc: 0.0373 - ETA: 19s - loss: 4.4390 - acc: 0.0371 - ETA: 19s - loss: 4.4399 - acc: 0.0371 - ETA: 18s - loss: 4.4391 - acc: 0.0372 - ETA: 18s - loss: 4.4391 - acc: 0.0373 - ETA: 18s - loss: 4.4392 - acc: 0.0371 - ETA: 18s - loss: 4.4403 - acc: 0.0369 - ETA: 18s - loss: 4.4392 - acc: 0.0367 - ETA: 18s - loss: 4.4385 - acc: 0.0365 - ETA: 18s - loss: 4.4366 - acc: 0.0366 - ETA: 17s - loss: 4.4354 - acc: 0.0369 - ETA: 17s - loss: 4.4358 - acc: 0.0370 - ETA: 17s - loss: 4.4374 - acc: 0.0368 - ETA: 17s - loss: 4.4370 - acc: 0.0371 - ETA: 17s - loss: 4.4368 - acc: 0.0371 - ETA: 17s - loss: 4.4366 - acc: 0.0372 - ETA: 17s - loss: 4.4363 - acc: 0.0370 - ETA: 16s - loss: 4.4352 - acc: 0.0373 - ETA: 16s - loss: 4.4352 - acc: 0.0372 - ETA: 16s - loss: 4.4359 - acc: 0.0370 - ETA: 16s - loss: 4.4353 - acc: 0.0373 - ETA: 16s - loss: 4.4353 - acc: 0.0373 - ETA: 16s - loss: 4.4356 - acc: 0.0374 - ETA: 16s - loss: 4.4368 - acc: 0.0372 - ETA: 15s - loss: 4.4371 - acc: 0.0371 - ETA: 15s - loss: 4.4371 - acc: 0.0371 - ETA: 15s - loss: 4.4367 - acc: 0.0372 - ETA: 15s - loss: 4.4367 - acc: 0.0372 - ETA: 15s - loss: 4.4374 - acc: 0.0373 - ETA: 15s - loss: 4.4384 - acc: 0.0371 - ETA: 15s - loss: 4.4402 - acc: 0.0372 - ETA: 14s - loss: 4.4416 - acc: 0.0372 - ETA: 14s - loss: 4.4410 - acc: 0.0371 - ETA: 14s - loss: 4.4410 - acc: 0.0371 - ETA: 14s - loss: 4.4405 - acc: 0.0372 - ETA: 14s - loss: 4.4403 - acc: 0.0370 - ETA: 14s - loss: 4.4398 - acc: 0.0371 - ETA: 14s - loss: 4.4404 - acc: 0.0371 - ETA: 13s - loss: 4.4400 - acc: 0.0372 - ETA: 13s - loss: 4.4389 - acc: 0.0372 - ETA: 13s - loss: 4.4390 - acc: 0.0373 - ETA: 13s - loss: 4.4395 - acc: 0.0371 - ETA: 13s - loss: 4.4379 - acc: 0.0372 - ETA: 13s - loss: 4.4377 - acc: 0.0370 - ETA: 13s - loss: 4.4373 - acc: 0.0369 - ETA: 12s - loss: 4.4385 - acc: 0.0367 - ETA: 12s - loss: 4.4385 - acc: 0.0368 - ETA: 12s - loss: 4.4388 - acc: 0.0370 - ETA: 12s - loss: 4.4386 - acc: 0.0371 - ETA: 12s - loss: 4.4384 - acc: 0.0373 - ETA: 12s - loss: 4.4384 - acc: 0.0374 - ETA: 11s - loss: 4.4382 - acc: 0.0373 - ETA: 11s - loss: 4.4373 - acc: 0.0371 - ETA: 11s - loss: 4.4390 - acc: 0.0372 - ETA: 11s - loss: 4.4371 - acc: 0.0374 - ETA: 11s - loss: 4.4370 - acc: 0.0375 - ETA: 11s - loss: 4.4359 - acc: 0.0373 - ETA: 11s - loss: 4.4358 - acc: 0.0372 - ETA: 10s - loss: 4.4368 - acc: 0.0370 - ETA: 10s - loss: 4.4355 - acc: 0.0371 - ETA: 10s - loss: 4.4354 - acc: 0.0371 - ETA: 10s - loss: 4.4340 - acc: 0.0372 - ETA: 10s - loss: 4.4339 - acc: 0.0372 - ETA: 10s - loss: 4.4349 - acc: 0.0371 - ETA: 10s - loss: 4.4357 - acc: 0.0369 - ETA: 9s - loss: 4.4345 - acc: 0.0370 - ETA: 9s - loss: 4.4343 - acc: 0.0370 - ETA: 9s - loss: 4.4327 - acc: 0.0373 - ETA: 9s - loss: 4.4329 - acc: 0.0371 - ETA: 9s - loss: 4.4315 - acc: 0.0372 - ETA: 9s - loss: 4.4318 - acc: 0.0372 - ETA: 9s - loss: 4.4338 - acc: 0.0371 - ETA: 8s - loss: 4.4347 - acc: 0.0369 - ETA: 8s - loss: 4.4349 - acc: 0.0370 - ETA: 8s - loss: 4.4361 - acc: 0.0369 - ETA: 8s - loss: 4.4358 - acc: 0.0373 - ETA: 8s - loss: 4.4357 - acc: 0.0373 - ETA: 8s - loss: 4.4363 - acc: 0.0372 - ETA: 8s - loss: 4.4364 - acc: 0.0371 - ETA: 7s - loss: 4.4365 - acc: 0.0369 - ETA: 7s - loss: 4.4357 - acc: 0.0371 - ETA: 7s - loss: 4.4372 - acc: 0.0372 - ETA: 7s - loss: 4.4377 - acc: 0.0371 - ETA: 7s - loss: 4.4414 - acc: 0.0369 - ETA: 7s - loss: 4.4419 - acc: 0.0370 - ETA: 7s - loss: 4.4422 - acc: 0.0370 - ETA: 6s - loss: 4.4422 - acc: 0.0371 - ETA: 6s - loss: 4.4421 - acc: 0.0371 - ETA: 6s - loss: 4.4419 - acc: 0.0372 - ETA: 6s - loss: 4.4420 - acc: 0.0372 - ETA: 6s - loss: 4.4416 - acc: 0.0372 - ETA: 6s - loss: 4.4409 - acc: 0.0373 - ETA: 6s - loss: 4.4405 - acc: 0.0373 - ETA: 5s - loss: 4.4402 - acc: 0.0374 - ETA: 5s - loss: 4.4402 - acc: 0.0372 - ETA: 5s - loss: 4.4407 - acc: 0.0371 - ETA: 5s - loss: 4.4406 - acc: 0.0370 - ETA: 5s - loss: 4.4413 - acc: 0.0369 - ETA: 5s - loss: 4.4415 - acc: 0.0367 - ETA: 5s - loss: 4.4410 - acc: 0.0370 - ETA: 4s - loss: 4.4410 - acc: 0.0368 - ETA: 4s - loss: 4.4406 - acc: 0.0369 - ETA: 4s - loss: 4.4410 - acc: 0.0369 - ETA: 4s - loss: 4.4410 - acc: 0.0371 - ETA: 4s - loss: 4.4402 - acc: 0.0372 - ETA: 4s - loss: 4.4396 - acc: 0.0374 - ETA: 4s - loss: 4.4398 - acc: 0.0373 - ETA: 3s - loss: 4.4401 - acc: 0.0373 - ETA: 3s - loss: 4.4407 - acc: 0.0373 - ETA: 3s - loss: 4.4405 - acc: 0.0374 - ETA: 3s - loss: 4.4408 - acc: 0.0373 - ETA: 3s - loss: 4.4407 - acc: 0.0373 - ETA: 3s - loss: 4.4400 - acc: 0.0373 - ETA: 3s - loss: 4.4405 - acc: 0.0372 - ETA: 2s - loss: 4.4402 - acc: 0.0371 - ETA: 2s - loss: 4.4399 - acc: 0.0371 - ETA: 2s - loss: 4.4396 - acc: 0.0370 - ETA: 2s - loss: 4.4391 - acc: 0.0371 - ETA: 2s - loss: 4.4397 - acc: 0.0369 - ETA: 2s - loss: 4.4400 - acc: 0.0370 - ETA: 2s - loss: 4.4392 - acc: 0.0370 - ETA: 1s - loss: 4.4396 - acc: 0.0369 - ETA: 1s - loss: 4.4388 - acc: 0.0368 - ETA: 1s - loss: 4.4386 - acc: 0.0370 - ETA: 1s - loss: 4.4380 - acc: 0.0370 - ETA: 1s - loss: 4.4395 - acc: 0.0372 - ETA: 1s - loss: 4.4393 - acc: 0.0371 - ETA: 1s - loss: 4.4397 - acc: 0.0372 - ETA: 0s - loss: 4.4400 - acc: 0.0370 - ETA: 0s - loss: 4.4394 - acc: 0.0372 - ETA: 0s - loss: 4.4392 - acc: 0.0373 - ETA: 0s - loss: 4.4391 - acc: 0.0373 - ETA: 0s - loss: 4.4391 - acc: 0.0372 - ETA: 0s - loss: 4.4399 - acc: 0.0372Epoch 00012: val_loss improved from 4.43726 to 4.40043, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.4399 - acc: 0.0374 - val_loss: 4.4004 - val_acc: 0.0383 Epoch 14/40 6660/6680 [============================>.] - ETA: 48s - loss: 4.6392 - acc: 0.0500 - ETA: 49s - loss: 4.4388 - acc: 0.0500 - ETA: 48s - loss: 4.5299 - acc: 0.0333 - ETA: 48s - loss: 4.5018 - acc: 0.0375 - ETA: 47s - loss: 4.4617 - acc: 0.0500 - ETA: 48s - loss: 4.4514 - acc: 0.0417 - ETA: 48s - loss: 4.4244 - acc: 0.0500 - ETA: 47s - loss: 4.4258 - acc: 0.0438 - ETA: 47s - loss: 4.4661 - acc: 0.0389 - ETA: 47s - loss: 4.4364 - acc: 0.0400 - ETA: 46s - loss: 4.4411 - acc: 0.0409 - ETA: 46s - loss: 4.4475 - acc: 0.0375 - ETA: 46s - loss: 4.4255 - acc: 0.0346 - ETA: 46s - loss: 4.4196 - acc: 0.0357 - ETA: 46s - loss: 4.4189 - acc: 0.0400 - ETA: 45s - loss: 4.4082 - acc: 0.0375 - ETA: 45s - loss: 4.4296 - acc: 0.0382 - ETA: 45s - loss: 4.4396 - acc: 0.0361 - ETA: 45s - loss: 4.4340 - acc: 0.0342 - ETA: 45s - loss: 4.4364 - acc: 0.0350 - ETA: 45s - loss: 4.4397 - acc: 0.0357 - ETA: 45s - loss: 4.4292 - acc: 0.0409 - ETA: 44s - loss: 4.4191 - acc: 0.0457 - ETA: 44s - loss: 4.4235 - acc: 0.0438 - ETA: 44s - loss: 4.4159 - acc: 0.0440 - ETA: 44s - loss: 4.3983 - acc: 0.0500 - ETA: 44s - loss: 4.3890 - acc: 0.0500 - ETA: 44s - loss: 4.3793 - acc: 0.0482 - ETA: 44s - loss: 4.3886 - acc: 0.0500 - ETA: 43s - loss: 4.3941 - acc: 0.0483 - ETA: 43s - loss: 4.3935 - acc: 0.0468 - ETA: 43s - loss: 4.3928 - acc: 0.0453 - ETA: 43s - loss: 4.3931 - acc: 0.0439 - ETA: 43s - loss: 4.3996 - acc: 0.0441 - ETA: 43s - loss: 4.3968 - acc: 0.0429 - ETA: 43s - loss: 4.3961 - acc: 0.0417 - ETA: 42s - loss: 4.4001 - acc: 0.0419 - ETA: 42s - loss: 4.4038 - acc: 0.0421 - ETA: 42s - loss: 4.4008 - acc: 0.0410 - ETA: 42s - loss: 4.3955 - acc: 0.0413 - ETA: 42s - loss: 4.3950 - acc: 0.0402 - ETA: 42s - loss: 4.3895 - acc: 0.0393 - ETA: 41s - loss: 4.3976 - acc: 0.0384 - ETA: 41s - loss: 4.3935 - acc: 0.0386 - ETA: 41s - loss: 4.3940 - acc: 0.0400 - ETA: 41s - loss: 4.3966 - acc: 0.0402 - ETA: 41s - loss: 4.4010 - acc: 0.0415 - ETA: 41s - loss: 4.4011 - acc: 0.0427 - ETA: 41s - loss: 4.4018 - acc: 0.0429 - ETA: 40s - loss: 4.3994 - acc: 0.0430 - ETA: 40s - loss: 4.3910 - acc: 0.0441 - ETA: 40s - loss: 4.3900 - acc: 0.0433 - ETA: 40s - loss: 4.3914 - acc: 0.0434 - ETA: 40s - loss: 4.3945 - acc: 0.0426 - ETA: 40s - loss: 4.3903 - acc: 0.0418 - ETA: 39s - loss: 4.3901 - acc: 0.0420 - ETA: 39s - loss: 4.3937 - acc: 0.0412 - ETA: 39s - loss: 4.3955 - acc: 0.0414 - ETA: 39s - loss: 4.3987 - acc: 0.0407 - ETA: 39s - loss: 4.3990 - acc: 0.0408 - ETA: 39s - loss: 4.3961 - acc: 0.0402 - ETA: 39s - loss: 4.3960 - acc: 0.0403 - ETA: 38s - loss: 4.3947 - acc: 0.0397 - ETA: 38s - loss: 4.3952 - acc: 0.0391 - ETA: 38s - loss: 4.3977 - acc: 0.0392 - ETA: 38s - loss: 4.4060 - acc: 0.0386 - ETA: 38s - loss: 4.4048 - acc: 0.0396 - ETA: 38s - loss: 4.4077 - acc: 0.0404 - ETA: 38s - loss: 4.4058 - acc: 0.0406 - ETA: 38s - loss: 4.4074 - acc: 0.0400 - ETA: 37s - loss: 4.4086 - acc: 0.0401 - ETA: 37s - loss: 4.4077 - acc: 0.0410 - ETA: 37s - loss: 4.4088 - acc: 0.0411 - ETA: 37s - loss: 4.4029 - acc: 0.0426 - ETA: 37s - loss: 4.4023 - acc: 0.0420 - ETA: 37s - loss: 4.4022 - acc: 0.0414 - ETA: 36s - loss: 4.4057 - acc: 0.0409 - ETA: 36s - loss: 4.4091 - acc: 0.0404 - ETA: 36s - loss: 4.4088 - acc: 0.0405 - ETA: 36s - loss: 4.4054 - acc: 0.0400 - ETA: 36s - loss: 4.4036 - acc: 0.0395 - ETA: 36s - loss: 4.4072 - acc: 0.0396 - ETA: 36s - loss: 4.4074 - acc: 0.0392 - ETA: 35s - loss: 4.4040 - acc: 0.0405 - ETA: 35s - loss: 4.4047 - acc: 0.0400 - ETA: 35s - loss: 4.4032 - acc: 0.0395 - ETA: 35s - loss: 4.4032 - acc: 0.0391 - ETA: 35s - loss: 4.4060 - acc: 0.0386 - ETA: 35s - loss: 4.4061 - acc: 0.0382 - ETA: 35s - loss: 4.4053 - acc: 0.0383 - ETA: 34s - loss: 4.4068 - acc: 0.0379 - ETA: 34s - loss: 4.4089 - acc: 0.0375 - ETA: 34s - loss: 4.4115 - acc: 0.0376 - ETA: 34s - loss: 4.4152 - acc: 0.0378 - ETA: 34s - loss: 4.4084 - acc: 0.0384 - ETA: 34s - loss: 4.4071 - acc: 0.0385 - ETA: 34s - loss: 4.4064 - acc: 0.0397 - ETA: 33s - loss: 4.4071 - acc: 0.0398 - ETA: 33s - loss: 4.4048 - acc: 0.0394 - ETA: 33s - loss: 4.4050 - acc: 0.0400 - ETA: 33s - loss: 4.4015 - acc: 0.0406 - ETA: 33s - loss: 4.4012 - acc: 0.0402 - ETA: 33s - loss: 4.4016 - acc: 0.0398 - ETA: 33s - loss: 4.4024 - acc: 0.0394 - ETA: 32s - loss: 4.4020 - acc: 0.0390 - ETA: 32s - loss: 4.3998 - acc: 0.0387 - ETA: 32s - loss: 4.4008 - acc: 0.0388 - ETA: 32s - loss: 4.4010 - acc: 0.0389 - ETA: 32s - loss: 4.4022 - acc: 0.0385 - ETA: 32s - loss: 4.4023 - acc: 0.0382 - ETA: 32s - loss: 4.4023 - acc: 0.0387 - ETA: 31s - loss: 4.4032 - acc: 0.0388 - ETA: 31s - loss: 4.4055 - acc: 0.0385 - ETA: 31s - loss: 4.4068 - acc: 0.0382 - ETA: 31s - loss: 4.4047 - acc: 0.0378 - ETA: 31s - loss: 4.4061 - acc: 0.0375 - ETA: 31s - loss: 4.4054 - acc: 0.0372 - ETA: 31s - loss: 4.4042 - acc: 0.0369 - ETA: 30s - loss: 4.4033 - acc: 0.0370 - ETA: 30s - loss: 4.4020 - acc: 0.0371 - ETA: 30s - loss: 4.4051 - acc: 0.0368 - ETA: 30s - loss: 4.4026 - acc: 0.0369 - ETA: 30s - loss: 4.4017 - acc: 0.0370 - ETA: 30s - loss: 4.3992 - acc: 0.0379 - ETA: 30s - loss: 4.4009 - acc: 0.0380 - ETA: 29s - loss: 4.4018 - acc: 0.0377 - ETA: 29s - loss: 4.4018 - acc: 0.0378 - ETA: 29s - loss: 4.4020 - acc: 0.0375 - ETA: 29s - loss: 4.3997 - acc: 0.0376 - ETA: 29s - loss: 4.4019 - acc: 0.0373 - ETA: 29s - loss: 4.4029 - acc: 0.0370 - ETA: 29s - loss: 4.4019 - acc: 0.0375 - ETA: 28s - loss: 4.4012 - acc: 0.0380 - ETA: 28s - loss: 4.4016 - acc: 0.0384 - ETA: 28s - loss: 4.4043 - acc: 0.0389 - ETA: 28s - loss: 4.4039 - acc: 0.0401 - ETA: 28s - loss: 4.4083 - acc: 0.0398 - ETA: 28s - loss: 4.4101 - acc: 0.0395 - ETA: 28s - loss: 4.4115 - acc: 0.0396 - ETA: 27s - loss: 4.4135 - acc: 0.0396 - ETA: 27s - loss: 4.4135 - acc: 0.0397 - ETA: 27s - loss: 4.4102 - acc: 0.0408 - ETA: 27s - loss: 4.4089 - acc: 0.0409 - ETA: 27s - loss: 4.4093 - acc: 0.0406 - ETA: 27s - loss: 4.4091 - acc: 0.0403 - ETA: 27s - loss: 4.4091 - acc: 0.0401 - ETA: 26s - loss: 4.4094 - acc: 0.0401 - ETA: 26s - loss: 4.4109 - acc: 0.0402 - ETA: 26s - loss: 4.4118 - acc: 0.0403 - ETA: 26s - loss: 4.4113 - acc: 0.0407 - ETA: 26s - loss: 4.4107 - acc: 0.0407 - ETA: 26s - loss: 4.4089 - acc: 0.0408 - ETA: 26s - loss: 4.4066 - acc: 0.0408 - ETA: 25s - loss: 4.4067 - acc: 0.0409 - ETA: 25s - loss: 4.4053 - acc: 0.0410 - ETA: 25s - loss: 4.4038 - acc: 0.0407 - ETA: 25s - loss: 4.4051 - acc: 0.0404 - ETA: 25s - loss: 4.4060 - acc: 0.0402 - ETA: 25s - loss: 4.4063 - acc: 0.0399 - ETA: 25s - loss: 4.4076 - acc: 0.0397 - ETA: 25s - loss: 4.4064 - acc: 0.0404 - ETA: 24s - loss: 4.4063 - acc: 0.0410 - ETA: 24s - loss: 4.4071 - acc: 0.0408 - ETA: 24s - loss: 4.4055 - acc: 0.0415 - ETA: 24s - loss: 4.4076 - acc: 0.0412 - ETA: 24s - loss: 4.4088 - acc: 0.0410 - ETA: 24s - loss: 4.4081 - acc: 0.0410 - ETA: 23s - loss: 4.4069 - acc: 0.0411 - ETA: 23s - loss: 4.4064 - acc: 0.0411 - ETA: 23s - loss: 4.4054 - acc: 0.0409 - ETA: 23s - loss: 4.4038 - acc: 0.0409 - ETA: 23s - loss: 4.4043 - acc: 0.0410 - ETA: 23s - loss: 4.4044 - acc: 0.0413 - ETA: 23s - loss: 4.4056 - acc: 0.0411 - ETA: 22s - loss: 4.4051 - acc: 0.0409 - ETA: 22s - loss: 4.4045 - acc: 0.0406 - ETA: 22s - loss: 4.4040 - acc: 0.0412 - ETA: 22s - loss: 4.4041 - acc: 0.0410 - ETA: 22s - loss: 4.4027 - acc: 0.0413 - ETA: 22s - loss: 4.4030 - acc: 0.0414 - ETA: 22s - loss: 4.4046 - acc: 0.0412 - ETA: 21s - loss: 4.4059 - acc: 0.0409 - ETA: 21s - loss: 4.4051 - acc: 0.0407 - ETA: 21s - loss: 4.4056 - acc: 0.0405 - ETA: 21s - loss: 4.4047 - acc: 0.0411 - ETA: 21s - loss: 4.4061 - acc: 0.0411 - ETA: 21s - loss: 4.4045 - acc: 0.0412 - ETA: 21s - loss: 4.4049 - acc: 0.0410 - ETA: 20s - loss: 4.4047 - acc: 0.0410 - ETA: 20s - loss: 4.4039 - acc: 0.0413 - ETA: 20s - loss: 4.4048 - acc: 0.0411 - ETA: 20s - loss: 4.4052 - acc: 0.0411 - ETA: 20s - loss: 4.4049 - acc: 0.0409 - ETA: 20s - loss: 4.4045 - acc: 0.0407 - ETA: 20s - loss: 4.4060 - acc: 0.0405 - ETA: 19s - loss: 4.4068 - acc: 0.0408 - ETA: 19s - loss: 4.4064 - acc: 0.0414 - ETA: 19s - loss: 4.4052 - acc: 0.0412 - ETA: 19s - loss: 4.4065 - acc: 0.0412 - ETA: 19s - loss: 4.4055 - acc: 0.0413 - ETA: 19s - loss: 4.4054 - acc: 0.0415 - ETA: 19s - loss: 4.4075 - acc: 0.0416 - ETA: 18s - loss: 4.4089 - acc: 0.0414 - ETA: 18s - loss: 4.4093 - acc: 0.0414 - ETA: 18s - loss: 4.4088 - acc: 0.0417 - ETA: 18s - loss: 4.4086 - acc: 0.0415 - ETA: 18s - loss: 4.4091 - acc: 0.0415 - ETA: 18s - loss: 4.4084 - acc: 0.0421 - ETA: 18s - loss: 4.4073 - acc: 0.0421 - ETA: 17s - loss: 4.4075 - acc: 0.0426 - ETA: 17s - loss: 4.4084 - acc: 0.0424 - ETA: 17s - loss: 4.4081 - acc: 0.0425 - ETA: 17s - loss: 4.4077 - acc: 0.0425 - ETA: 17s - loss: 4.4085 - acc: 0.0423 - ETA: 17s - loss: 4.4083 - acc: 0.0421 - ETA: 17s - loss: 4.4068 - acc: 0.0424 - ETA: 16s - loss: 4.4060 - acc: 0.0424 - ETA: 16s - loss: 4.4046 - acc: 0.0424 - ETA: 16s - loss: 4.4037 - acc: 0.0425 - ETA: 16s - loss: 4.4031 - acc: 0.0425 - ETA: 16s - loss: 4.4012 - acc: 0.0432 - ETA: 16s - loss: 4.4011 - acc: 0.0432 - ETA: 16s - loss: 4.3999 - acc: 0.0430 - ETA: 15s - loss: 4.3996 - acc: 0.0429 - ETA: 15s - loss: 4.3989 - acc: 0.0429 - ETA: 15s - loss: 4.3984 - acc: 0.0427 - ETA: 15s - loss: 4.3968 - acc: 0.0425 - ETA: 15s - loss: 4.3962 - acc: 0.0423 - ETA: 15s - loss: 4.3946 - acc: 0.0421 - ETA: 15s - loss: 4.3925 - acc: 0.0420 - ETA: 14s - loss: 4.3908 - acc: 0.0420 - ETA: 14s - loss: 4.3917 - acc: 0.0418 - ETA: 14s - loss: 4.3911 - acc: 0.0421 - ETA: 14s - loss: 4.3903 - acc: 0.0421 - ETA: 14s - loss: 4.3911 - acc: 0.0419 - ETA: 14s - loss: 4.3910 - acc: 0.0417 - ETA: 13s - loss: 4.3914 - acc: 0.0416 - ETA: 13s - loss: 4.3914 - acc: 0.0414 - ETA: 13s - loss: 4.3897 - acc: 0.0414 - ETA: 13s - loss: 4.3881 - acc: 0.0415 - ETA: 13s - loss: 4.3872 - acc: 0.0415 - ETA: 13s - loss: 4.3880 - acc: 0.0417 - ETA: 13s - loss: 4.3868 - acc: 0.0422 - ETA: 12s - loss: 4.3879 - acc: 0.0420 - ETA: 12s - loss: 4.3870 - acc: 0.0424 - ETA: 12s - loss: 4.3881 - acc: 0.0423 - ETA: 12s - loss: 4.3879 - acc: 0.0423 - ETA: 12s - loss: 4.3873 - acc: 0.0421 - ETA: 12s - loss: 4.3892 - acc: 0.0420 - ETA: 12s - loss: 4.3894 - acc: 0.0420 - ETA: 11s - loss: 4.3894 - acc: 0.0418 - ETA: 11s - loss: 4.3882 - acc: 0.0421 - ETA: 11s - loss: 4.3887 - acc: 0.0421 - ETA: 11s - loss: 4.3904 - acc: 0.0419 - ETA: 11s - loss: 4.3902 - acc: 0.0418 - ETA: 11s - loss: 4.3915 - acc: 0.0416 - ETA: 11s - loss: 4.3906 - acc: 0.0416 - ETA: 10s - loss: 4.3895 - acc: 0.0415 - ETA: 10s - loss: 4.3891 - acc: 0.0413 - ETA: 10s - loss: 4.3891 - acc: 0.0412 - ETA: 10s - loss: 4.3888 - acc: 0.0410 - ETA: 10s - loss: 4.3902 - acc: 0.0410 - ETA: 10s - loss: 4.3906 - acc: 0.0411 - ETA: 10s - loss: 4.3901 - acc: 0.0411 - ETA: 9s - loss: 4.3901 - acc: 0.0415 - ETA: 9s - loss: 4.3901 - acc: 0.0414 - ETA: 9s - loss: 4.3893 - acc: 0.0416 - ETA: 9s - loss: 4.3876 - acc: 0.0416 - ETA: 9s - loss: 4.3868 - acc: 0.0416 - ETA: 9s - loss: 4.3865 - acc: 0.0415 - ETA: 9s - loss: 4.3852 - acc: 0.0417 - ETA: 8s - loss: 4.3865 - acc: 0.0415 - ETA: 8s - loss: 4.3875 - acc: 0.0414 - ETA: 8s - loss: 4.3873 - acc: 0.0412 - ETA: 8s - loss: 4.3875 - acc: 0.0411 - ETA: 8s - loss: 4.3859 - acc: 0.0409 - ETA: 8s - loss: 4.3845 - acc: 0.0410 - ETA: 8s - loss: 4.3837 - acc: 0.0408 - ETA: 7s - loss: 4.3849 - acc: 0.0409 - ETA: 7s - loss: 4.3846 - acc: 0.0411 - ETA: 7s - loss: 4.3845 - acc: 0.0409 - ETA: 7s - loss: 4.3848 - acc: 0.0408 - ETA: 7s - loss: 4.3842 - acc: 0.0406 - ETA: 7s - loss: 4.3849 - acc: 0.0407 - ETA: 7s - loss: 4.3858 - acc: 0.0407 - ETA: 6s - loss: 4.3882 - acc: 0.0407 - ETA: 6s - loss: 4.3880 - acc: 0.0406 - ETA: 6s - loss: 4.3876 - acc: 0.0406 - ETA: 6s - loss: 4.3874 - acc: 0.0408 - ETA: 6s - loss: 4.3874 - acc: 0.0407 - ETA: 6s - loss: 4.3866 - acc: 0.0407 - ETA: 6s - loss: 4.3857 - acc: 0.0408 - ETA: 5s - loss: 4.3858 - acc: 0.0410 - ETA: 5s - loss: 4.3860 - acc: 0.0408 - ETA: 5s - loss: 4.3868 - acc: 0.0408 - ETA: 5s - loss: 4.3874 - acc: 0.0407 - ETA: 5s - loss: 4.3874 - acc: 0.0406 - ETA: 5s - loss: 4.3882 - acc: 0.0404 - ETA: 5s - loss: 4.3869 - acc: 0.0403 - ETA: 4s - loss: 4.3865 - acc: 0.0402 - ETA: 4s - loss: 4.3868 - acc: 0.0400 - ETA: 4s - loss: 4.3857 - acc: 0.0401 - ETA: 4s - loss: 4.3857 - acc: 0.0401 - ETA: 4s - loss: 4.3854 - acc: 0.0401 - ETA: 4s - loss: 4.3857 - acc: 0.0402 - ETA: 4s - loss: 4.3858 - acc: 0.0400 - ETA: 3s - loss: 4.3856 - acc: 0.0399 - ETA: 3s - loss: 4.3854 - acc: 0.0398 - ETA: 3s - loss: 4.3854 - acc: 0.0400 - ETA: 3s - loss: 4.3849 - acc: 0.0402 - ETA: 3s - loss: 4.3850 - acc: 0.0402 - ETA: 3s - loss: 4.3847 - acc: 0.0401 - ETA: 3s - loss: 4.3844 - acc: 0.0399 - ETA: 2s - loss: 4.3857 - acc: 0.0398 - ETA: 2s - loss: 4.3851 - acc: 0.0397 - ETA: 2s - loss: 4.3854 - acc: 0.0399 - ETA: 2s - loss: 4.3855 - acc: 0.0399 - ETA: 2s - loss: 4.3857 - acc: 0.0398 - ETA: 2s - loss: 4.3856 - acc: 0.0398 - ETA: 2s - loss: 4.3857 - acc: 0.0397 - ETA: 1s - loss: 4.3859 - acc: 0.0396 - ETA: 1s - loss: 4.3838 - acc: 0.0399 - ETA: 1s - loss: 4.3835 - acc: 0.0399 - ETA: 1s - loss: 4.3837 - acc: 0.0398 - ETA: 1s - loss: 4.3829 - acc: 0.0398 - ETA: 1s - loss: 4.3839 - acc: 0.0399 - ETA: 1s - loss: 4.3834 - acc: 0.0398 - ETA: 0s - loss: 4.3835 - acc: 0.0398 - ETA: 0s - loss: 4.3822 - acc: 0.0400 - ETA: 0s - loss: 4.3816 - acc: 0.0398 - ETA: 0s - loss: 4.3821 - acc: 0.0397 - ETA: 0s - loss: 4.3832 - acc: 0.0396 - ETA: 0s - loss: 4.3824 - acc: 0.0398Epoch 00013: val_loss improved from 4.40043 to 4.34914, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.3828 - acc: 0.0397 - val_loss: 4.3491 - val_acc: 0.0467 Epoch 15/40 6660/6680 [============================>.] - ETA: 55s - loss: 3.9080 - acc: 0.0500 - ETA: 49s - loss: 4.1512 - acc: 0.0500 - ETA: 49s - loss: 4.1736 - acc: 0.0500 - ETA: 48s - loss: 4.2659 - acc: 0.0375 - ETA: 48s - loss: 4.2750 - acc: 0.0300 - ETA: 48s - loss: 4.2932 - acc: 0.0250 - ETA: 48s - loss: 4.3072 - acc: 0.0286 - ETA: 48s - loss: 4.2922 - acc: 0.0313 - ETA: 47s - loss: 4.2969 - acc: 0.0333 - ETA: 47s - loss: 4.3129 - acc: 0.0400 - ETA: 47s - loss: 4.3473 - acc: 0.0364 - ETA: 47s - loss: 4.3375 - acc: 0.0375 - ETA: 46s - loss: 4.3488 - acc: 0.0346 - ETA: 46s - loss: 4.3409 - acc: 0.0393 - ETA: 46s - loss: 4.3462 - acc: 0.0367 - ETA: 46s - loss: 4.3323 - acc: 0.0406 - ETA: 46s - loss: 4.3268 - acc: 0.0382 - ETA: 45s - loss: 4.3283 - acc: 0.0389 - ETA: 45s - loss: 4.3202 - acc: 0.0421 - ETA: 45s - loss: 4.3212 - acc: 0.0425 - ETA: 45s - loss: 4.3243 - acc: 0.0405 - ETA: 45s - loss: 4.3192 - acc: 0.0455 - ETA: 44s - loss: 4.3079 - acc: 0.0500 - ETA: 45s - loss: 4.3274 - acc: 0.0479 - ETA: 44s - loss: 4.3136 - acc: 0.0520 - ETA: 44s - loss: 4.3123 - acc: 0.0500 - ETA: 44s - loss: 4.3134 - acc: 0.0481 - ETA: 44s - loss: 4.3229 - acc: 0.0464 - ETA: 44s - loss: 4.3153 - acc: 0.0483 - ETA: 44s - loss: 4.3164 - acc: 0.0467 - ETA: 44s - loss: 4.3192 - acc: 0.0452 - ETA: 43s - loss: 4.3212 - acc: 0.0453 - ETA: 43s - loss: 4.3217 - acc: 0.0455 - ETA: 43s - loss: 4.3204 - acc: 0.0441 - ETA: 43s - loss: 4.3219 - acc: 0.0443 - ETA: 43s - loss: 4.3153 - acc: 0.0458 - ETA: 43s - loss: 4.3119 - acc: 0.0459 - ETA: 42s - loss: 4.3138 - acc: 0.0474 - ETA: 42s - loss: 4.3129 - acc: 0.0474 - ETA: 42s - loss: 4.3131 - acc: 0.0463 - ETA: 42s - loss: 4.3210 - acc: 0.0476 - ETA: 42s - loss: 4.3203 - acc: 0.0488 - ETA: 42s - loss: 4.3200 - acc: 0.0477 - ETA: 41s - loss: 4.3155 - acc: 0.0511 - ETA: 41s - loss: 4.3184 - acc: 0.0511 - ETA: 41s - loss: 4.3204 - acc: 0.0500 - ETA: 41s - loss: 4.3142 - acc: 0.0511 - ETA: 41s - loss: 4.3126 - acc: 0.0510 - ETA: 41s - loss: 4.3125 - acc: 0.0510 - ETA: 41s - loss: 4.3156 - acc: 0.0520 - ETA: 40s - loss: 4.3231 - acc: 0.0510 - ETA: 40s - loss: 4.3288 - acc: 0.0510 - ETA: 40s - loss: 4.3240 - acc: 0.0500 - ETA: 40s - loss: 4.3218 - acc: 0.0491 - ETA: 40s - loss: 4.3187 - acc: 0.0482 - ETA: 40s - loss: 4.3217 - acc: 0.0491 - ETA: 40s - loss: 4.3189 - acc: 0.0482 - ETA: 39s - loss: 4.3195 - acc: 0.0474 - ETA: 39s - loss: 4.3189 - acc: 0.0483 - ETA: 39s - loss: 4.3206 - acc: 0.0492 - ETA: 39s - loss: 4.3201 - acc: 0.0500 - ETA: 39s - loss: 4.3280 - acc: 0.0492 - ETA: 39s - loss: 4.3269 - acc: 0.0484 - ETA: 39s - loss: 4.3319 - acc: 0.0477 - ETA: 38s - loss: 4.3280 - acc: 0.0492 - ETA: 38s - loss: 4.3292 - acc: 0.0485 - ETA: 38s - loss: 4.3272 - acc: 0.0485 - ETA: 38s - loss: 4.3308 - acc: 0.0485 - ETA: 38s - loss: 4.3319 - acc: 0.0478 - ETA: 38s - loss: 4.3310 - acc: 0.0486 - ETA: 37s - loss: 4.3321 - acc: 0.0493 - ETA: 37s - loss: 4.3340 - acc: 0.0486 - ETA: 37s - loss: 4.3354 - acc: 0.0479 - ETA: 37s - loss: 4.3373 - acc: 0.0473 - ETA: 37s - loss: 4.3436 - acc: 0.0473 - ETA: 37s - loss: 4.3445 - acc: 0.0487 - ETA: 37s - loss: 4.3428 - acc: 0.0487 - ETA: 37s - loss: 4.3459 - acc: 0.0487 - ETA: 36s - loss: 4.3413 - acc: 0.0500 - ETA: 36s - loss: 4.3434 - acc: 0.0500 - ETA: 36s - loss: 4.3456 - acc: 0.0500 - ETA: 36s - loss: 4.3457 - acc: 0.0500 - ETA: 36s - loss: 4.3473 - acc: 0.0500 - ETA: 36s - loss: 4.3444 - acc: 0.0500 - ETA: 35s - loss: 4.3427 - acc: 0.0500 - ETA: 35s - loss: 4.3406 - acc: 0.0506 - ETA: 35s - loss: 4.3434 - acc: 0.0500 - ETA: 35s - loss: 4.3432 - acc: 0.0494 - ETA: 35s - loss: 4.3470 - acc: 0.0494 - ETA: 35s - loss: 4.3458 - acc: 0.0500 - ETA: 35s - loss: 4.3438 - acc: 0.0505 - ETA: 34s - loss: 4.3416 - acc: 0.0516 - ETA: 34s - loss: 4.3463 - acc: 0.0511 - ETA: 34s - loss: 4.3461 - acc: 0.0511 - ETA: 34s - loss: 4.3484 - acc: 0.0511 - ETA: 34s - loss: 4.3479 - acc: 0.0510 - ETA: 34s - loss: 4.3493 - acc: 0.0510 - ETA: 34s - loss: 4.3465 - acc: 0.0515 - ETA: 33s - loss: 4.3453 - acc: 0.0515 - ETA: 33s - loss: 4.3432 - acc: 0.0520 - ETA: 33s - loss: 4.3397 - acc: 0.0515 - ETA: 33s - loss: 4.3399 - acc: 0.0510 - ETA: 33s - loss: 4.3395 - acc: 0.0515 - ETA: 33s - loss: 4.3384 - acc: 0.0514 - ETA: 33s - loss: 4.3382 - acc: 0.0514 - ETA: 32s - loss: 4.3389 - acc: 0.0509 - ETA: 32s - loss: 4.3364 - acc: 0.0505 - ETA: 32s - loss: 4.3375 - acc: 0.0500 - ETA: 32s - loss: 4.3381 - acc: 0.0495 - ETA: 32s - loss: 4.3375 - acc: 0.0495 - ETA: 32s - loss: 4.3405 - acc: 0.0500 - ETA: 32s - loss: 4.3403 - acc: 0.0496 - ETA: 31s - loss: 4.3376 - acc: 0.0496 - ETA: 31s - loss: 4.3403 - acc: 0.0496 - ETA: 31s - loss: 4.3397 - acc: 0.0491 - ETA: 31s - loss: 4.3390 - acc: 0.0491 - ETA: 31s - loss: 4.3339 - acc: 0.0500 - ETA: 31s - loss: 4.3334 - acc: 0.0496 - ETA: 31s - loss: 4.3315 - acc: 0.0496 - ETA: 30s - loss: 4.3335 - acc: 0.0496 - ETA: 30s - loss: 4.3337 - acc: 0.0492 - ETA: 30s - loss: 4.3375 - acc: 0.0488 - ETA: 30s - loss: 4.3378 - acc: 0.0484 - ETA: 30s - loss: 4.3354 - acc: 0.0492 - ETA: 30s - loss: 4.3401 - acc: 0.0492 - ETA: 29s - loss: 4.3391 - acc: 0.0496 - ETA: 29s - loss: 4.3382 - acc: 0.0496 - ETA: 29s - loss: 4.3399 - acc: 0.0492 - ETA: 29s - loss: 4.3395 - acc: 0.0488 - ETA: 29s - loss: 4.3381 - acc: 0.0488 - ETA: 29s - loss: 4.3392 - acc: 0.0485 - ETA: 29s - loss: 4.3379 - acc: 0.0485 - ETA: 28s - loss: 4.3376 - acc: 0.0492 - ETA: 28s - loss: 4.3381 - acc: 0.0493 - ETA: 28s - loss: 4.3382 - acc: 0.0496 - ETA: 28s - loss: 4.3388 - acc: 0.0493 - ETA: 28s - loss: 4.3379 - acc: 0.0493 - ETA: 28s - loss: 4.3398 - acc: 0.0489 - ETA: 28s - loss: 4.3383 - acc: 0.0496 - ETA: 27s - loss: 4.3379 - acc: 0.0496 - ETA: 27s - loss: 4.3371 - acc: 0.0496 - ETA: 27s - loss: 4.3362 - acc: 0.0500 - ETA: 27s - loss: 4.3379 - acc: 0.0500 - ETA: 27s - loss: 4.3383 - acc: 0.0497 - ETA: 27s - loss: 4.3348 - acc: 0.0500 - ETA: 27s - loss: 4.3348 - acc: 0.0500 - ETA: 26s - loss: 4.3390 - acc: 0.0500 - ETA: 26s - loss: 4.3367 - acc: 0.0500 - ETA: 26s - loss: 4.3360 - acc: 0.0500 - ETA: 26s - loss: 4.3358 - acc: 0.0503 - ETA: 26s - loss: 4.3358 - acc: 0.0507 - ETA: 26s - loss: 4.3358 - acc: 0.0510 - ETA: 26s - loss: 4.3345 - acc: 0.0510 - ETA: 25s - loss: 4.3340 - acc: 0.0516 - ETA: 25s - loss: 4.3329 - acc: 0.0526 - ETA: 25s - loss: 4.3370 - acc: 0.0526 - ETA: 25s - loss: 4.3381 - acc: 0.0522 - ETA: 25s - loss: 4.3380 - acc: 0.0522 - ETA: 25s - loss: 4.3389 - acc: 0.0519 - ETA: 25s - loss: 4.3394 - acc: 0.0519 - ETA: 24s - loss: 4.3394 - acc: 0.0519 - ETA: 24s - loss: 4.3406 - acc: 0.0515 - ETA: 24s - loss: 4.3402 - acc: 0.0512 - ETA: 24s - loss: 4.3415 - acc: 0.0518 - ETA: 24s - loss: 4.3421 - acc: 0.0515 - ETA: 24s - loss: 4.3426 - acc: 0.0512 - ETA: 24s - loss: 4.3416 - acc: 0.0515 - ETA: 23s - loss: 4.3395 - acc: 0.0518 - ETA: 23s - loss: 4.3397 - acc: 0.0515 - ETA: 23s - loss: 4.3404 - acc: 0.0515 - ETA: 23s - loss: 4.3440 - acc: 0.0512 - ETA: 23s - loss: 4.3443 - acc: 0.0509 - ETA: 23s - loss: 4.3422 - acc: 0.0509 - ETA: 23s - loss: 4.3434 - acc: 0.0509 - ETA: 22s - loss: 4.3427 - acc: 0.0509 - ETA: 22s - loss: 4.3417 - acc: 0.0514 - ETA: 22s - loss: 4.3425 - acc: 0.0514 - ETA: 22s - loss: 4.3409 - acc: 0.0514 - ETA: 22s - loss: 4.3398 - acc: 0.0514 - ETA: 22s - loss: 4.3411 - acc: 0.0514 - ETA: 22s - loss: 4.3394 - acc: 0.0511 - ETA: 21s - loss: 4.3389 - acc: 0.0511 - ETA: 21s - loss: 4.3407 - acc: 0.0508 - ETA: 21s - loss: 4.3419 - acc: 0.0508 - ETA: 21s - loss: 4.3420 - acc: 0.0514 - ETA: 21s - loss: 4.3422 - acc: 0.0516 - ETA: 21s - loss: 4.3418 - acc: 0.0516 - ETA: 21s - loss: 4.3418 - acc: 0.0516 - ETA: 20s - loss: 4.3419 - acc: 0.0516 - ETA: 20s - loss: 4.3418 - acc: 0.0518 - ETA: 20s - loss: 4.3414 - acc: 0.0518 - ETA: 20s - loss: 4.3395 - acc: 0.0518 - ETA: 20s - loss: 4.3401 - acc: 0.0516 - ETA: 20s - loss: 4.3400 - acc: 0.0515 - ETA: 20s - loss: 4.3405 - acc: 0.0515 - ETA: 19s - loss: 4.3407 - acc: 0.0515 - ETA: 19s - loss: 4.3425 - acc: 0.0513 - ETA: 19s - loss: 4.3427 - acc: 0.0513 - ETA: 19s - loss: 4.3434 - acc: 0.0513 - ETA: 19s - loss: 4.3433 - acc: 0.0510 - ETA: 19s - loss: 4.3445 - acc: 0.0507 - ETA: 19s - loss: 4.3464 - acc: 0.0505 - ETA: 18s - loss: 4.3466 - acc: 0.0505 - ETA: 18s - loss: 4.3465 - acc: 0.0502 - ETA: 18s - loss: 4.3473 - acc: 0.0502 - ETA: 18s - loss: 4.3471 - acc: 0.0500 - ETA: 18s - loss: 4.3475 - acc: 0.0505 - ETA: 18s - loss: 4.3481 - acc: 0.0505 - ETA: 18s - loss: 4.3479 - acc: 0.0502 - ETA: 17s - loss: 4.3478 - acc: 0.0505 - ETA: 17s - loss: 4.3493 - acc: 0.0502 - ETA: 17s - loss: 4.3486 - acc: 0.0500 - ETA: 17s - loss: 4.3465 - acc: 0.0500 - ETA: 17s - loss: 4.3478 - acc: 0.0500 - ETA: 17s - loss: 4.3485 - acc: 0.0500 - ETA: 17s - loss: 4.3490 - acc: 0.0502 - ETA: 16s - loss: 4.3500 - acc: 0.0500 - ETA: 16s - loss: 4.3497 - acc: 0.0500 - ETA: 16s - loss: 4.3493 - acc: 0.0498 - ETA: 16s - loss: 4.3479 - acc: 0.0505 - ETA: 16s - loss: 4.3472 - acc: 0.0502 - ETA: 16s - loss: 4.3465 - acc: 0.0500 - ETA: 16s - loss: 4.3447 - acc: 0.0498 - ETA: 15s - loss: 4.3452 - acc: 0.0500 - ETA: 15s - loss: 4.3451 - acc: 0.0500 - ETA: 15s - loss: 4.3444 - acc: 0.0502 - ETA: 15s - loss: 4.3449 - acc: 0.0504 - ETA: 15s - loss: 4.3440 - acc: 0.0504 - ETA: 15s - loss: 4.3420 - acc: 0.0504 - ETA: 15s - loss: 4.3416 - acc: 0.0509 - ETA: 14s - loss: 4.3423 - acc: 0.0506 - ETA: 14s - loss: 4.3413 - acc: 0.0504 - ETA: 14s - loss: 4.3410 - acc: 0.0504 - ETA: 14s - loss: 4.3398 - acc: 0.0509 - ETA: 14s - loss: 4.3411 - acc: 0.0506 - ETA: 14s - loss: 4.3417 - acc: 0.0506 - ETA: 13s - loss: 4.3418 - acc: 0.0508 - ETA: 13s - loss: 4.3433 - acc: 0.0506 - ETA: 13s - loss: 4.3443 - acc: 0.0506 - ETA: 13s - loss: 4.3433 - acc: 0.0508 - ETA: 13s - loss: 4.3420 - acc: 0.0506 - ETA: 13s - loss: 4.3432 - acc: 0.0504 - ETA: 13s - loss: 4.3432 - acc: 0.0504 - ETA: 12s - loss: 4.3427 - acc: 0.0502 - ETA: 12s - loss: 4.3431 - acc: 0.0502 - ETA: 12s - loss: 4.3429 - acc: 0.0502 - ETA: 12s - loss: 4.3423 - acc: 0.0502 - ETA: 12s - loss: 4.3420 - acc: 0.0500 - ETA: 12s - loss: 4.3409 - acc: 0.0498 - ETA: 12s - loss: 4.3418 - acc: 0.0496 - ETA: 11s - loss: 4.3427 - acc: 0.0494 - ETA: 11s - loss: 4.3436 - acc: 0.0494 - ETA: 11s - loss: 4.3451 - acc: 0.0492 - ETA: 11s - loss: 4.3443 - acc: 0.0492 - ETA: 11s - loss: 4.3442 - acc: 0.0492 - ETA: 11s - loss: 4.3429 - acc: 0.0494 - ETA: 11s - loss: 4.3428 - acc: 0.0496 - ETA: 10s - loss: 4.3422 - acc: 0.0494 - ETA: 10s - loss: 4.3417 - acc: 0.0498 - ETA: 10s - loss: 4.3423 - acc: 0.0502 - ETA: 10s - loss: 4.3419 - acc: 0.0504 - ETA: 10s - loss: 4.3417 - acc: 0.0502 - ETA: 10s - loss: 4.3422 - acc: 0.0502 - ETA: 10s - loss: 4.3420 - acc: 0.0508 - ETA: 9s - loss: 4.3425 - acc: 0.0508 - ETA: 9s - loss: 4.3421 - acc: 0.0513 - ETA: 9s - loss: 4.3411 - acc: 0.0511 - ETA: 9s - loss: 4.3426 - acc: 0.0509 - ETA: 9s - loss: 4.3422 - acc: 0.0511 - ETA: 9s - loss: 4.3402 - acc: 0.0513 - ETA: 9s - loss: 4.3391 - acc: 0.0515 - ETA: 8s - loss: 4.3404 - acc: 0.0513 - ETA: 8s - loss: 4.3404 - acc: 0.0511 - ETA: 8s - loss: 4.3406 - acc: 0.0511 - ETA: 8s - loss: 4.3406 - acc: 0.0511 - ETA: 8s - loss: 4.3410 - acc: 0.0511 - ETA: 8s - loss: 4.3418 - acc: 0.0513 - ETA: 8s - loss: 4.3422 - acc: 0.0513 - ETA: 7s - loss: 4.3428 - acc: 0.0513 - ETA: 7s - loss: 4.3430 - acc: 0.0513 - ETA: 7s - loss: 4.3443 - acc: 0.0512 - ETA: 7s - loss: 4.3453 - acc: 0.0511 - ETA: 7s - loss: 4.3449 - acc: 0.0511 - ETA: 7s - loss: 4.3450 - acc: 0.0511 - ETA: 7s - loss: 4.3452 - acc: 0.0509 - ETA: 6s - loss: 4.3448 - acc: 0.0507 - ETA: 6s - loss: 4.3446 - acc: 0.0505 - ETA: 6s - loss: 4.3444 - acc: 0.0503 - ETA: 6s - loss: 4.3443 - acc: 0.0502 - ETA: 6s - loss: 4.3445 - acc: 0.0502 - ETA: 6s - loss: 4.3443 - acc: 0.0502 - ETA: 6s - loss: 4.3448 - acc: 0.0500 - ETA: 5s - loss: 4.3440 - acc: 0.0502 - ETA: 5s - loss: 4.3442 - acc: 0.0502 - ETA: 5s - loss: 4.3438 - acc: 0.0502 - ETA: 5s - loss: 4.3432 - acc: 0.0502 - ETA: 5s - loss: 4.3423 - acc: 0.0500 - ETA: 5s - loss: 4.3418 - acc: 0.0498 - ETA: 5s - loss: 4.3419 - acc: 0.0497 - ETA: 4s - loss: 4.3423 - acc: 0.0498 - ETA: 4s - loss: 4.3430 - acc: 0.0497 - ETA: 4s - loss: 4.3431 - acc: 0.0495 - ETA: 4s - loss: 4.3432 - acc: 0.0493 - ETA: 4s - loss: 4.3416 - acc: 0.0497 - ETA: 4s - loss: 4.3423 - acc: 0.0497 - ETA: 4s - loss: 4.3422 - acc: 0.0497 - ETA: 3s - loss: 4.3415 - acc: 0.0495 - ETA: 3s - loss: 4.3412 - acc: 0.0495 - ETA: 3s - loss: 4.3412 - acc: 0.0495 - ETA: 3s - loss: 4.3422 - acc: 0.0494 - ETA: 3s - loss: 4.3416 - acc: 0.0492 - ETA: 3s - loss: 4.3428 - acc: 0.0490 - ETA: 3s - loss: 4.3416 - acc: 0.0492 - ETA: 2s - loss: 4.3405 - acc: 0.0492 - ETA: 2s - loss: 4.3395 - acc: 0.0494 - ETA: 2s - loss: 4.3391 - acc: 0.0494 - ETA: 2s - loss: 4.3404 - acc: 0.0494 - ETA: 2s - loss: 4.3409 - acc: 0.0495 - ETA: 2s - loss: 4.3404 - acc: 0.0495 - ETA: 2s - loss: 4.3409 - acc: 0.0495 - ETA: 1s - loss: 4.3409 - acc: 0.0495 - ETA: 1s - loss: 4.3400 - acc: 0.0497 - ETA: 1s - loss: 4.3400 - acc: 0.0495 - ETA: 1s - loss: 4.3413 - acc: 0.0495 - ETA: 1s - loss: 4.3404 - acc: 0.0495 - ETA: 1s - loss: 4.3390 - acc: 0.0494 - ETA: 1s - loss: 4.3386 - acc: 0.0494 - ETA: 0s - loss: 4.3395 - acc: 0.0492 - ETA: 0s - loss: 4.3409 - acc: 0.0491 - ETA: 0s - loss: 4.3406 - acc: 0.0489 - ETA: 0s - loss: 4.3410 - acc: 0.0489 - ETA: 0s - loss: 4.3410 - acc: 0.0494 - ETA: 0s - loss: 4.3404 - acc: 0.0494Epoch 00014: val_loss improved from 4.34914 to 4.29384, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.3403 - acc: 0.0493 - val_loss: 4.2938 - val_acc: 0.0515 Epoch 16/40 6660/6680 [============================>.] - ETA: 53s - loss: 3.9137 - acc: 0.1500 - ETA: 52s - loss: 4.1813 - acc: 0.1000 - ETA: 50s - loss: 4.0355 - acc: 0.1167 - ETA: 49s - loss: 4.0356 - acc: 0.1000 - ETA: 49s - loss: 4.1538 - acc: 0.0800 - ETA: 48s - loss: 4.1894 - acc: 0.0750 - ETA: 48s - loss: 4.1856 - acc: 0.0714 - ETA: 48s - loss: 4.2195 - acc: 0.0750 - ETA: 47s - loss: 4.1827 - acc: 0.0833 - ETA: 47s - loss: 4.1836 - acc: 0.0750 - ETA: 47s - loss: 4.2097 - acc: 0.0727 - ETA: 46s - loss: 4.2746 - acc: 0.0708 - ETA: 46s - loss: 4.2934 - acc: 0.0654 - ETA: 46s - loss: 4.2800 - acc: 0.0643 - ETA: 46s - loss: 4.2823 - acc: 0.0633 - ETA: 46s - loss: 4.2716 - acc: 0.0594 - ETA: 46s - loss: 4.2867 - acc: 0.0559 - ETA: 45s - loss: 4.2963 - acc: 0.0556 - ETA: 45s - loss: 4.2996 - acc: 0.0526 - ETA: 45s - loss: 4.3015 - acc: 0.0525 - ETA: 45s - loss: 4.2860 - acc: 0.0524 - ETA: 45s - loss: 4.2804 - acc: 0.0523 - ETA: 44s - loss: 4.2875 - acc: 0.0500 - ETA: 44s - loss: 4.2833 - acc: 0.0500 - ETA: 44s - loss: 4.2829 - acc: 0.0480 - ETA: 44s - loss: 4.2766 - acc: 0.0500 - ETA: 44s - loss: 4.2759 - acc: 0.0481 - ETA: 43s - loss: 4.2768 - acc: 0.0500 - ETA: 43s - loss: 4.2814 - acc: 0.0483 - ETA: 43s - loss: 4.2835 - acc: 0.0483 - ETA: 43s - loss: 4.2839 - acc: 0.0484 - ETA: 43s - loss: 4.2828 - acc: 0.0500 - ETA: 43s - loss: 4.2953 - acc: 0.0485 - ETA: 43s - loss: 4.2901 - acc: 0.0485 - ETA: 43s - loss: 4.2940 - acc: 0.0471 - ETA: 42s - loss: 4.2900 - acc: 0.0458 - ETA: 42s - loss: 4.2892 - acc: 0.0459 - ETA: 42s - loss: 4.2897 - acc: 0.0461 - ETA: 42s - loss: 4.2880 - acc: 0.0474 - ETA: 42s - loss: 4.2748 - acc: 0.0513 - ETA: 42s - loss: 4.2886 - acc: 0.0500 - ETA: 41s - loss: 4.2833 - acc: 0.0488 - ETA: 41s - loss: 4.2830 - acc: 0.0500 - ETA: 41s - loss: 4.2760 - acc: 0.0500 - ETA: 41s - loss: 4.2782 - acc: 0.0511 - ETA: 41s - loss: 4.2798 - acc: 0.0500 - ETA: 41s - loss: 4.2835 - acc: 0.0489 - ETA: 41s - loss: 4.2800 - acc: 0.0500 - ETA: 40s - loss: 4.2685 - acc: 0.0510 - ETA: 40s - loss: 4.2708 - acc: 0.0500 - ETA: 40s - loss: 4.2683 - acc: 0.0500 - ETA: 40s - loss: 4.2651 - acc: 0.0490 - ETA: 40s - loss: 4.2725 - acc: 0.0500 - ETA: 40s - loss: 4.2757 - acc: 0.0500 - ETA: 40s - loss: 4.2770 - acc: 0.0500 - ETA: 39s - loss: 4.2710 - acc: 0.0500 - ETA: 39s - loss: 4.2645 - acc: 0.0509 - ETA: 39s - loss: 4.2700 - acc: 0.0500 - ETA: 39s - loss: 4.2687 - acc: 0.0500 - ETA: 39s - loss: 4.2654 - acc: 0.0500 - ETA: 39s - loss: 4.2558 - acc: 0.0516 - ETA: 39s - loss: 4.2580 - acc: 0.0516 - ETA: 38s - loss: 4.2503 - acc: 0.0516 - ETA: 38s - loss: 4.2496 - acc: 0.0523 - ETA: 38s - loss: 4.2479 - acc: 0.0515 - ETA: 38s - loss: 4.2487 - acc: 0.0515 - ETA: 38s - loss: 4.2527 - acc: 0.0507 - ETA: 38s - loss: 4.2565 - acc: 0.0500 - ETA: 38s - loss: 4.2557 - acc: 0.0507 - ETA: 37s - loss: 4.2551 - acc: 0.0507 - ETA: 37s - loss: 4.2573 - acc: 0.0514 - ETA: 37s - loss: 4.2633 - acc: 0.0507 - ETA: 37s - loss: 4.2647 - acc: 0.0514 - ETA: 37s - loss: 4.2750 - acc: 0.0507 - ETA: 37s - loss: 4.2745 - acc: 0.0513 - ETA: 37s - loss: 4.2770 - acc: 0.0507 - ETA: 36s - loss: 4.2765 - acc: 0.0519 - ETA: 36s - loss: 4.2787 - acc: 0.0519 - ETA: 36s - loss: 4.2776 - acc: 0.0525 - ETA: 36s - loss: 4.2774 - acc: 0.0525 - ETA: 36s - loss: 4.2796 - acc: 0.0519 - ETA: 36s - loss: 4.2851 - acc: 0.0524 - ETA: 36s - loss: 4.2811 - acc: 0.0518 - ETA: 35s - loss: 4.2811 - acc: 0.0524 - ETA: 35s - loss: 4.2788 - acc: 0.0529 - ETA: 35s - loss: 4.2843 - acc: 0.0523 - ETA: 35s - loss: 4.2819 - acc: 0.0529 - ETA: 35s - loss: 4.2860 - acc: 0.0528 - ETA: 35s - loss: 4.2866 - acc: 0.0534 - ETA: 35s - loss: 4.2855 - acc: 0.0556 - ETA: 34s - loss: 4.2866 - acc: 0.0555 - ETA: 34s - loss: 4.2872 - acc: 0.0560 - ETA: 34s - loss: 4.2837 - acc: 0.0575 - ETA: 34s - loss: 4.2845 - acc: 0.0569 - ETA: 34s - loss: 4.2862 - acc: 0.0563 - ETA: 34s - loss: 4.2827 - acc: 0.0568 - ETA: 34s - loss: 4.2830 - acc: 0.0562 - ETA: 33s - loss: 4.2828 - acc: 0.0561 - ETA: 33s - loss: 4.2824 - acc: 0.0566 - ETA: 33s - loss: 4.2823 - acc: 0.0565 - ETA: 33s - loss: 4.2840 - acc: 0.0564 - ETA: 33s - loss: 4.2860 - acc: 0.0559 - ETA: 33s - loss: 4.2844 - acc: 0.0553 - ETA: 33s - loss: 4.2843 - acc: 0.0553 - ETA: 33s - loss: 4.2819 - acc: 0.0552 - ETA: 32s - loss: 4.2819 - acc: 0.0547 - ETA: 32s - loss: 4.2804 - acc: 0.0542 - ETA: 32s - loss: 4.2800 - acc: 0.0537 - ETA: 32s - loss: 4.2810 - acc: 0.0541 - ETA: 32s - loss: 4.2821 - acc: 0.0541 - ETA: 32s - loss: 4.2840 - acc: 0.0541 - ETA: 32s - loss: 4.2818 - acc: 0.0536 - ETA: 31s - loss: 4.2805 - acc: 0.0535 - ETA: 31s - loss: 4.2891 - acc: 0.0531 - ETA: 31s - loss: 4.2883 - acc: 0.0530 - ETA: 31s - loss: 4.2871 - acc: 0.0526 - ETA: 31s - loss: 4.2876 - acc: 0.0526 - ETA: 31s - loss: 4.2861 - acc: 0.0542 - ETA: 31s - loss: 4.2883 - acc: 0.0546 - ETA: 30s - loss: 4.2888 - acc: 0.0550 - ETA: 30s - loss: 4.2872 - acc: 0.0558 - ETA: 30s - loss: 4.2880 - acc: 0.0566 - ETA: 30s - loss: 4.2878 - acc: 0.0561 - ETA: 30s - loss: 4.2883 - acc: 0.0560 - ETA: 30s - loss: 4.2883 - acc: 0.0568 - ETA: 30s - loss: 4.2905 - acc: 0.0563 - ETA: 29s - loss: 4.2926 - acc: 0.0567 - ETA: 29s - loss: 4.2932 - acc: 0.0574 - ETA: 29s - loss: 4.2968 - acc: 0.0574 - ETA: 29s - loss: 4.2945 - acc: 0.0573 - ETA: 29s - loss: 4.2940 - acc: 0.0573 - ETA: 29s - loss: 4.2956 - acc: 0.0572 - ETA: 29s - loss: 4.2948 - acc: 0.0571 - ETA: 28s - loss: 4.2950 - acc: 0.0567 - ETA: 28s - loss: 4.2935 - acc: 0.0570 - ETA: 28s - loss: 4.2932 - acc: 0.0570 - ETA: 28s - loss: 4.2956 - acc: 0.0569 - ETA: 28s - loss: 4.2964 - acc: 0.0572 - ETA: 28s - loss: 4.2955 - acc: 0.0572 - ETA: 27s - loss: 4.2958 - acc: 0.0568 - ETA: 27s - loss: 4.2955 - acc: 0.0571 - ETA: 27s - loss: 4.2950 - acc: 0.0567 - ETA: 27s - loss: 4.2946 - acc: 0.0563 - ETA: 27s - loss: 4.2938 - acc: 0.0559 - ETA: 27s - loss: 4.2920 - acc: 0.0562 - ETA: 27s - loss: 4.2914 - acc: 0.0562 - ETA: 26s - loss: 4.2887 - acc: 0.0565 - ETA: 26s - loss: 4.2873 - acc: 0.0564 - ETA: 26s - loss: 4.2897 - acc: 0.0567 - ETA: 26s - loss: 4.2873 - acc: 0.0570 - ETA: 26s - loss: 4.2881 - acc: 0.0570 - ETA: 26s - loss: 4.2889 - acc: 0.0566 - ETA: 26s - loss: 4.2876 - acc: 0.0569 - ETA: 25s - loss: 4.2858 - acc: 0.0565 - ETA: 25s - loss: 4.2837 - acc: 0.0568 - ETA: 25s - loss: 4.2805 - acc: 0.0567 - ETA: 25s - loss: 4.2834 - acc: 0.0564 - ETA: 25s - loss: 4.2829 - acc: 0.0563 - ETA: 25s - loss: 4.2847 - acc: 0.0563 - ETA: 25s - loss: 4.2855 - acc: 0.0559 - ETA: 24s - loss: 4.2854 - acc: 0.0556 - ETA: 24s - loss: 4.2853 - acc: 0.0556 - ETA: 24s - loss: 4.2851 - acc: 0.0552 - ETA: 24s - loss: 4.2853 - acc: 0.0552 - ETA: 24s - loss: 4.2861 - acc: 0.0552 - ETA: 24s - loss: 4.2874 - acc: 0.0548 - ETA: 24s - loss: 4.2865 - acc: 0.0551 - ETA: 23s - loss: 4.2867 - acc: 0.0554 - ETA: 23s - loss: 4.2873 - acc: 0.0550 - ETA: 23s - loss: 4.2865 - acc: 0.0550 - ETA: 23s - loss: 4.2870 - acc: 0.0547 - ETA: 23s - loss: 4.2887 - acc: 0.0544 - ETA: 23s - loss: 4.2876 - acc: 0.0543 - ETA: 23s - loss: 4.2888 - acc: 0.0546 - ETA: 22s - loss: 4.2892 - acc: 0.0546 - ETA: 22s - loss: 4.2899 - acc: 0.0551 - ETA: 22s - loss: 4.2901 - acc: 0.0548 - ETA: 22s - loss: 4.2900 - acc: 0.0551 - ETA: 22s - loss: 4.2912 - acc: 0.0547 - ETA: 22s - loss: 4.2919 - acc: 0.0550 - ETA: 22s - loss: 4.2920 - acc: 0.0550 - ETA: 21s - loss: 4.2923 - acc: 0.0549 - ETA: 21s - loss: 4.2910 - acc: 0.0546 - ETA: 21s - loss: 4.2927 - acc: 0.0546 - ETA: 21s - loss: 4.2932 - acc: 0.0543 - ETA: 21s - loss: 4.2914 - acc: 0.0540 - ETA: 21s - loss: 4.2912 - acc: 0.0540 - ETA: 21s - loss: 4.2899 - acc: 0.0537 - ETA: 20s - loss: 4.2890 - acc: 0.0540 - ETA: 20s - loss: 4.2890 - acc: 0.0545 - ETA: 20s - loss: 4.2885 - acc: 0.0545 - ETA: 20s - loss: 4.2896 - acc: 0.0542 - ETA: 20s - loss: 4.2907 - acc: 0.0541 - ETA: 20s - loss: 4.2904 - acc: 0.0539 - ETA: 20s - loss: 4.2888 - acc: 0.0536 - ETA: 19s - loss: 4.2891 - acc: 0.0536 - ETA: 19s - loss: 4.2896 - acc: 0.0533 - ETA: 19s - loss: 4.2908 - acc: 0.0533 - ETA: 19s - loss: 4.2912 - acc: 0.0533 - ETA: 19s - loss: 4.2933 - acc: 0.0530 - ETA: 19s - loss: 4.2921 - acc: 0.0535 - ETA: 19s - loss: 4.2924 - acc: 0.0535 - ETA: 18s - loss: 4.2928 - acc: 0.0532 - ETA: 18s - loss: 4.2922 - acc: 0.0529 - ETA: 18s - loss: 4.2923 - acc: 0.0527 - ETA: 18s - loss: 4.2913 - acc: 0.0524 - ETA: 18s - loss: 4.2911 - acc: 0.0527 - ETA: 18s - loss: 4.2887 - acc: 0.0524 - ETA: 18s - loss: 4.2861 - acc: 0.0529 - ETA: 17s - loss: 4.2845 - acc: 0.0529 - ETA: 17s - loss: 4.2836 - acc: 0.0528 - ETA: 17s - loss: 4.2834 - acc: 0.0531 - ETA: 17s - loss: 4.2864 - acc: 0.0528 - ETA: 17s - loss: 4.2871 - acc: 0.0526 - ETA: 17s - loss: 4.2873 - acc: 0.0523 - ETA: 17s - loss: 4.2877 - acc: 0.0521 - ETA: 16s - loss: 4.2876 - acc: 0.0518 - ETA: 16s - loss: 4.2876 - acc: 0.0521 - ETA: 16s - loss: 4.2868 - acc: 0.0518 - ETA: 16s - loss: 4.2871 - acc: 0.0516 - ETA: 16s - loss: 4.2870 - acc: 0.0516 - ETA: 16s - loss: 4.2872 - acc: 0.0518 - ETA: 16s - loss: 4.2863 - acc: 0.0520 - ETA: 15s - loss: 4.2848 - acc: 0.0520 - ETA: 15s - loss: 4.2879 - acc: 0.0518 - ETA: 15s - loss: 4.2885 - acc: 0.0515 - ETA: 15s - loss: 4.2883 - acc: 0.0515 - ETA: 15s - loss: 4.2893 - acc: 0.0518 - ETA: 15s - loss: 4.2940 - acc: 0.0515 - ETA: 15s - loss: 4.2955 - acc: 0.0513 - ETA: 14s - loss: 4.2959 - acc: 0.0511 - ETA: 14s - loss: 4.2959 - acc: 0.0509 - ETA: 14s - loss: 4.2954 - acc: 0.0511 - ETA: 14s - loss: 4.2960 - acc: 0.0509 - ETA: 14s - loss: 4.2934 - acc: 0.0513 - ETA: 14s - loss: 4.2924 - acc: 0.0517 - ETA: 13s - loss: 4.2926 - acc: 0.0517 - ETA: 13s - loss: 4.2914 - acc: 0.0517 - ETA: 13s - loss: 4.2918 - acc: 0.0517 - ETA: 13s - loss: 4.2919 - acc: 0.0517 - ETA: 13s - loss: 4.2925 - acc: 0.0517 - ETA: 13s - loss: 4.2920 - acc: 0.0517 - ETA: 13s - loss: 4.2916 - acc: 0.0516 - ETA: 12s - loss: 4.2912 - acc: 0.0518 - ETA: 12s - loss: 4.2894 - acc: 0.0522 - ETA: 12s - loss: 4.2905 - acc: 0.0520 - ETA: 12s - loss: 4.2907 - acc: 0.0518 - ETA: 12s - loss: 4.2911 - acc: 0.0518 - ETA: 12s - loss: 4.2896 - acc: 0.0518 - ETA: 12s - loss: 4.2901 - acc: 0.0516 - ETA: 11s - loss: 4.2902 - acc: 0.0514 - ETA: 11s - loss: 4.2892 - acc: 0.0514 - ETA: 11s - loss: 4.2907 - acc: 0.0514 - ETA: 11s - loss: 4.2892 - acc: 0.0516 - ETA: 11s - loss: 4.2883 - acc: 0.0516 - ETA: 11s - loss: 4.2881 - acc: 0.0516 - ETA: 11s - loss: 4.2886 - acc: 0.0516 - ETA: 10s - loss: 4.2896 - acc: 0.0514 - ETA: 10s - loss: 4.2887 - acc: 0.0515 - ETA: 10s - loss: 4.2894 - acc: 0.0513 - ETA: 10s - loss: 4.2887 - acc: 0.0515 - ETA: 10s - loss: 4.2881 - acc: 0.0513 - ETA: 10s - loss: 4.2894 - acc: 0.0513 - ETA: 10s - loss: 4.2876 - acc: 0.0513 - ETA: 9s - loss: 4.2879 - acc: 0.0513 - ETA: 9s - loss: 4.2871 - acc: 0.0515 - ETA: 9s - loss: 4.2861 - acc: 0.0517 - ETA: 9s - loss: 4.2828 - acc: 0.0522 - ETA: 9s - loss: 4.2832 - acc: 0.0524 - ETA: 9s - loss: 4.2841 - acc: 0.0522 - ETA: 9s - loss: 4.2851 - acc: 0.0524 - ETA: 8s - loss: 4.2846 - acc: 0.0528 - ETA: 8s - loss: 4.2844 - acc: 0.0526 - ETA: 8s - loss: 4.2835 - acc: 0.0529 - ETA: 8s - loss: 4.2824 - acc: 0.0527 - ETA: 8s - loss: 4.2826 - acc: 0.0527 - ETA: 8s - loss: 4.2836 - acc: 0.0525 - ETA: 8s - loss: 4.2834 - acc: 0.0525 - ETA: 7s - loss: 4.2821 - acc: 0.0527 - ETA: 7s - loss: 4.2840 - acc: 0.0525 - ETA: 7s - loss: 4.2849 - acc: 0.0527 - ETA: 7s - loss: 4.2860 - acc: 0.0530 - ETA: 7s - loss: 4.2849 - acc: 0.0530 - ETA: 7s - loss: 4.2861 - acc: 0.0530 - ETA: 7s - loss: 4.2875 - acc: 0.0532 - ETA: 6s - loss: 4.2873 - acc: 0.0530 - ETA: 6s - loss: 4.2875 - acc: 0.0530 - ETA: 6s - loss: 4.2870 - acc: 0.0530 - ETA: 6s - loss: 4.2869 - acc: 0.0528 - ETA: 6s - loss: 4.2866 - acc: 0.0528 - ETA: 6s - loss: 4.2871 - acc: 0.0526 - ETA: 6s - loss: 4.2863 - acc: 0.0526 - ETA: 5s - loss: 4.2876 - acc: 0.0524 - ETA: 5s - loss: 4.2871 - acc: 0.0524 - ETA: 5s - loss: 4.2867 - acc: 0.0524 - ETA: 5s - loss: 4.2869 - acc: 0.0525 - ETA: 5s - loss: 4.2873 - acc: 0.0524 - ETA: 5s - loss: 4.2877 - acc: 0.0525 - ETA: 5s - loss: 4.2876 - acc: 0.0525 - ETA: 4s - loss: 4.2871 - acc: 0.0527 - ETA: 4s - loss: 4.2860 - acc: 0.0528 - ETA: 4s - loss: 4.2848 - acc: 0.0526 - ETA: 4s - loss: 4.2823 - acc: 0.0531 - ETA: 4s - loss: 4.2832 - acc: 0.0530 - ETA: 4s - loss: 4.2829 - acc: 0.0531 - ETA: 4s - loss: 4.2834 - acc: 0.0531 - ETA: 3s - loss: 4.2833 - acc: 0.0533 - ETA: 3s - loss: 4.2836 - acc: 0.0531 - ETA: 3s - loss: 4.2836 - acc: 0.0531 - ETA: 3s - loss: 4.2837 - acc: 0.0529 - ETA: 3s - loss: 4.2832 - acc: 0.0527 - ETA: 3s - loss: 4.2835 - acc: 0.0527 - ETA: 3s - loss: 4.2832 - acc: 0.0526 - ETA: 2s - loss: 4.2831 - acc: 0.0525 - ETA: 2s - loss: 4.2815 - acc: 0.0529 - ETA: 2s - loss: 4.2810 - acc: 0.0528 - ETA: 2s - loss: 4.2801 - acc: 0.0530 - ETA: 2s - loss: 4.2807 - acc: 0.0528 - ETA: 2s - loss: 4.2809 - acc: 0.0527 - ETA: 2s - loss: 4.2796 - acc: 0.0525 - ETA: 1s - loss: 4.2805 - acc: 0.0523 - ETA: 1s - loss: 4.2807 - acc: 0.0522 - ETA: 1s - loss: 4.2810 - acc: 0.0522 - ETA: 1s - loss: 4.2808 - acc: 0.0522 - ETA: 1s - loss: 4.2811 - acc: 0.0523 - ETA: 1s - loss: 4.2815 - acc: 0.0525 - ETA: 1s - loss: 4.2812 - acc: 0.0523 - ETA: 0s - loss: 4.2821 - acc: 0.0521 - ETA: 0s - loss: 4.2807 - acc: 0.0523 - ETA: 0s - loss: 4.2823 - acc: 0.0521 - ETA: 0s - loss: 4.2828 - acc: 0.0520 - ETA: 0s - loss: 4.2823 - acc: 0.0518 - ETA: 0s - loss: 4.2828 - acc: 0.0517Epoch 00015: val_loss improved from 4.29384 to 4.27492, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.2829 - acc: 0.0515 - val_loss: 4.2749 - val_acc: 0.0551 Epoch 17/40 6660/6680 [============================>.] - ETA: 43s - loss: 3.6311 - acc: 0.1000 - ETA: 47s - loss: 4.0460 - acc: 0.0500 - ETA: 47s - loss: 4.0487 - acc: 0.0667 - ETA: 47s - loss: 4.1214 - acc: 0.0625 - ETA: 47s - loss: 4.0993 - acc: 0.0600 - ETA: 47s - loss: 4.0273 - acc: 0.0750 - ETA: 47s - loss: 4.0351 - acc: 0.0643 - ETA: 47s - loss: 4.0596 - acc: 0.0563 - ETA: 47s - loss: 4.0690 - acc: 0.0500 - ETA: 46s - loss: 4.0873 - acc: 0.0450 - ETA: 46s - loss: 4.0892 - acc: 0.0455 - ETA: 46s - loss: 4.0929 - acc: 0.0458 - ETA: 46s - loss: 4.1169 - acc: 0.0462 - ETA: 46s - loss: 4.1552 - acc: 0.0464 - ETA: 46s - loss: 4.1711 - acc: 0.0467 - ETA: 46s - loss: 4.1945 - acc: 0.0469 - ETA: 46s - loss: 4.2037 - acc: 0.0559 - ETA: 46s - loss: 4.2122 - acc: 0.0556 - ETA: 45s - loss: 4.2019 - acc: 0.0605 - ETA: 45s - loss: 4.1829 - acc: 0.0625 - ETA: 45s - loss: 4.1838 - acc: 0.0619 - ETA: 45s - loss: 4.1727 - acc: 0.0591 - ETA: 45s - loss: 4.1652 - acc: 0.0630 - ETA: 45s - loss: 4.1548 - acc: 0.0604 - ETA: 44s - loss: 4.1535 - acc: 0.0600 - ETA: 44s - loss: 4.1563 - acc: 0.0577 - ETA: 44s - loss: 4.1684 - acc: 0.0574 - ETA: 44s - loss: 4.1664 - acc: 0.0571 - ETA: 44s - loss: 4.1618 - acc: 0.0569 - ETA: 44s - loss: 4.1745 - acc: 0.0550 - ETA: 43s - loss: 4.1952 - acc: 0.0548 - ETA: 43s - loss: 4.1892 - acc: 0.0547 - ETA: 43s - loss: 4.1770 - acc: 0.0545 - ETA: 43s - loss: 4.1848 - acc: 0.0544 - ETA: 43s - loss: 4.1841 - acc: 0.0543 - ETA: 43s - loss: 4.1876 - acc: 0.0542 - ETA: 43s - loss: 4.1864 - acc: 0.0541 - ETA: 43s - loss: 4.1842 - acc: 0.0539 - ETA: 42s - loss: 4.1894 - acc: 0.0551 - ETA: 42s - loss: 4.1866 - acc: 0.0563 - ETA: 42s - loss: 4.1876 - acc: 0.0561 - ETA: 42s - loss: 4.1835 - acc: 0.0548 - ETA: 42s - loss: 4.1852 - acc: 0.0535 - ETA: 42s - loss: 4.1881 - acc: 0.0523 - ETA: 41s - loss: 4.1898 - acc: 0.0533 - ETA: 41s - loss: 4.1845 - acc: 0.0565 - ETA: 41s - loss: 4.1913 - acc: 0.0564 - ETA: 41s - loss: 4.1937 - acc: 0.0552 - ETA: 41s - loss: 4.1944 - acc: 0.0551 - ETA: 41s - loss: 4.1915 - acc: 0.0540 - ETA: 40s - loss: 4.1945 - acc: 0.0529 - ETA: 40s - loss: 4.1914 - acc: 0.0538 - ETA: 40s - loss: 4.1932 - acc: 0.0528 - ETA: 40s - loss: 4.1903 - acc: 0.0528 - ETA: 40s - loss: 4.1922 - acc: 0.0545 - ETA: 40s - loss: 4.1932 - acc: 0.0545 - ETA: 39s - loss: 4.1953 - acc: 0.0544 - ETA: 39s - loss: 4.2007 - acc: 0.0543 - ETA: 39s - loss: 4.2063 - acc: 0.0534 - ETA: 39s - loss: 4.2069 - acc: 0.0550 - ETA: 39s - loss: 4.2127 - acc: 0.0549 - ETA: 39s - loss: 4.2170 - acc: 0.0548 - ETA: 39s - loss: 4.2170 - acc: 0.0548 - ETA: 38s - loss: 4.2193 - acc: 0.0539 - ETA: 38s - loss: 4.2215 - acc: 0.0538 - ETA: 38s - loss: 4.2269 - acc: 0.0530 - ETA: 38s - loss: 4.2299 - acc: 0.0537 - ETA: 38s - loss: 4.2279 - acc: 0.0544 - ETA: 38s - loss: 4.2284 - acc: 0.0536 - ETA: 38s - loss: 4.2265 - acc: 0.0536 - ETA: 37s - loss: 4.2293 - acc: 0.0535 - ETA: 37s - loss: 4.2290 - acc: 0.0528 - ETA: 37s - loss: 4.2266 - acc: 0.0521 - ETA: 37s - loss: 4.2285 - acc: 0.0514 - ETA: 37s - loss: 4.2311 - acc: 0.0507 - ETA: 37s - loss: 4.2317 - acc: 0.0507 - ETA: 37s - loss: 4.2322 - acc: 0.0500 - ETA: 36s - loss: 4.2349 - acc: 0.0494 - ETA: 36s - loss: 4.2343 - acc: 0.0506 - ETA: 36s - loss: 4.2352 - acc: 0.0513 - ETA: 36s - loss: 4.2364 - acc: 0.0519 - ETA: 36s - loss: 4.2362 - acc: 0.0518 - ETA: 36s - loss: 4.2344 - acc: 0.0518 - ETA: 36s - loss: 4.2344 - acc: 0.0524 - ETA: 35s - loss: 4.2283 - acc: 0.0524 - ETA: 35s - loss: 4.2299 - acc: 0.0523 - ETA: 35s - loss: 4.2263 - acc: 0.0529 - ETA: 35s - loss: 4.2246 - acc: 0.0534 - ETA: 35s - loss: 4.2241 - acc: 0.0528 - ETA: 35s - loss: 4.2191 - acc: 0.0539 - ETA: 35s - loss: 4.2184 - acc: 0.0538 - ETA: 34s - loss: 4.2162 - acc: 0.0543 - ETA: 34s - loss: 4.2189 - acc: 0.0538 - ETA: 34s - loss: 4.2207 - acc: 0.0543 - ETA: 34s - loss: 4.2199 - acc: 0.0547 - ETA: 34s - loss: 4.2198 - acc: 0.0547 - ETA: 34s - loss: 4.2191 - acc: 0.0541 - ETA: 34s - loss: 4.2198 - acc: 0.0536 - ETA: 33s - loss: 4.2157 - acc: 0.0545 - ETA: 33s - loss: 4.2206 - acc: 0.0545 - ETA: 33s - loss: 4.2215 - acc: 0.0540 - ETA: 33s - loss: 4.2214 - acc: 0.0544 - ETA: 33s - loss: 4.2203 - acc: 0.0539 - ETA: 33s - loss: 4.2208 - acc: 0.0534 - ETA: 33s - loss: 4.2196 - acc: 0.0538 - ETA: 32s - loss: 4.2165 - acc: 0.0538 - ETA: 32s - loss: 4.2194 - acc: 0.0533 - ETA: 32s - loss: 4.2212 - acc: 0.0532 - ETA: 32s - loss: 4.2231 - acc: 0.0537 - ETA: 32s - loss: 4.2216 - acc: 0.0536 - ETA: 32s - loss: 4.2212 - acc: 0.0541 - ETA: 31s - loss: 4.2269 - acc: 0.0536 - ETA: 31s - loss: 4.2268 - acc: 0.0544 - ETA: 31s - loss: 4.2295 - acc: 0.0548 - ETA: 31s - loss: 4.2289 - acc: 0.0548 - ETA: 31s - loss: 4.2275 - acc: 0.0556 - ETA: 31s - loss: 4.2273 - acc: 0.0551 - ETA: 31s - loss: 4.2285 - acc: 0.0551 - ETA: 31s - loss: 4.2308 - acc: 0.0550 - ETA: 30s - loss: 4.2257 - acc: 0.0567 - ETA: 30s - loss: 4.2224 - acc: 0.0570 - ETA: 30s - loss: 4.2239 - acc: 0.0566 - ETA: 30s - loss: 4.2232 - acc: 0.0565 - ETA: 30s - loss: 4.2222 - acc: 0.0565 - ETA: 30s - loss: 4.2250 - acc: 0.0560 - ETA: 30s - loss: 4.2255 - acc: 0.0560 - ETA: 29s - loss: 4.2241 - acc: 0.0559 - ETA: 29s - loss: 4.2248 - acc: 0.0555 - ETA: 29s - loss: 4.2211 - acc: 0.0562 - ETA: 29s - loss: 4.2218 - acc: 0.0562 - ETA: 29s - loss: 4.2205 - acc: 0.0561 - ETA: 29s - loss: 4.2216 - acc: 0.0561 - ETA: 29s - loss: 4.2190 - acc: 0.0568 - ETA: 28s - loss: 4.2152 - acc: 0.0575 - ETA: 28s - loss: 4.2178 - acc: 0.0574 - ETA: 28s - loss: 4.2173 - acc: 0.0577 - ETA: 28s - loss: 4.2188 - acc: 0.0577 - ETA: 28s - loss: 4.2181 - acc: 0.0576 - ETA: 28s - loss: 4.2194 - acc: 0.0572 - ETA: 28s - loss: 4.2223 - acc: 0.0571 - ETA: 27s - loss: 4.2237 - acc: 0.0567 - ETA: 27s - loss: 4.2252 - acc: 0.0570 - ETA: 27s - loss: 4.2235 - acc: 0.0566 - ETA: 27s - loss: 4.2256 - acc: 0.0563 - ETA: 27s - loss: 4.2233 - acc: 0.0562 - ETA: 27s - loss: 4.2236 - acc: 0.0562 - ETA: 27s - loss: 4.2257 - acc: 0.0561 - ETA: 26s - loss: 4.2243 - acc: 0.0564 - ETA: 26s - loss: 4.2235 - acc: 0.0560 - ETA: 26s - loss: 4.2249 - acc: 0.0560 - ETA: 26s - loss: 4.2258 - acc: 0.0556 - ETA: 26s - loss: 4.2261 - acc: 0.0556 - ETA: 26s - loss: 4.2270 - acc: 0.0552 - ETA: 26s - loss: 4.2285 - acc: 0.0552 - ETA: 25s - loss: 4.2277 - acc: 0.0558 - ETA: 25s - loss: 4.2284 - acc: 0.0564 - ETA: 25s - loss: 4.2274 - acc: 0.0564 - ETA: 25s - loss: 4.2273 - acc: 0.0560 - ETA: 25s - loss: 4.2308 - acc: 0.0557 - ETA: 25s - loss: 4.2308 - acc: 0.0556 - ETA: 25s - loss: 4.2301 - acc: 0.0553 - ETA: 24s - loss: 4.2294 - acc: 0.0552 - ETA: 24s - loss: 4.2287 - acc: 0.0561 - ETA: 24s - loss: 4.2296 - acc: 0.0564 - ETA: 24s - loss: 4.2313 - acc: 0.0564 - ETA: 24s - loss: 4.2311 - acc: 0.0563 - ETA: 24s - loss: 4.2302 - acc: 0.0560 - ETA: 23s - loss: 4.2302 - acc: 0.0560 - ETA: 23s - loss: 4.2296 - acc: 0.0562 - ETA: 23s - loss: 4.2301 - acc: 0.0559 - ETA: 23s - loss: 4.2296 - acc: 0.0561 - ETA: 23s - loss: 4.2322 - acc: 0.0561 - ETA: 23s - loss: 4.2320 - acc: 0.0561 - ETA: 23s - loss: 4.2334 - acc: 0.0560 - ETA: 22s - loss: 4.2330 - acc: 0.0560 - ETA: 22s - loss: 4.2318 - acc: 0.0568 - ETA: 22s - loss: 4.2317 - acc: 0.0565 - ETA: 22s - loss: 4.2323 - acc: 0.0565 - ETA: 22s - loss: 4.2340 - acc: 0.0561 - ETA: 22s - loss: 4.2346 - acc: 0.0561 - ETA: 22s - loss: 4.2367 - acc: 0.0561 - ETA: 21s - loss: 4.2381 - acc: 0.0558 - ETA: 21s - loss: 4.2378 - acc: 0.0555 - ETA: 21s - loss: 4.2366 - acc: 0.0557 - ETA: 21s - loss: 4.2361 - acc: 0.0559 - ETA: 21s - loss: 4.2354 - acc: 0.0556 - ETA: 21s - loss: 4.2364 - acc: 0.0553 - ETA: 21s - loss: 4.2357 - acc: 0.0553 - ETA: 20s - loss: 4.2328 - acc: 0.0558 - ETA: 20s - loss: 4.2333 - acc: 0.0558 - ETA: 20s - loss: 4.2327 - acc: 0.0555 - ETA: 20s - loss: 4.2309 - acc: 0.0555 - ETA: 20s - loss: 4.2300 - acc: 0.0552 - ETA: 20s - loss: 4.2301 - acc: 0.0552 - ETA: 20s - loss: 4.2315 - acc: 0.0551 - ETA: 19s - loss: 4.2310 - acc: 0.0548 - ETA: 19s - loss: 4.2326 - acc: 0.0546 - ETA: 19s - loss: 4.2324 - acc: 0.0551 - ETA: 19s - loss: 4.2310 - acc: 0.0553 - ETA: 19s - loss: 4.2302 - acc: 0.0553 - ETA: 19s - loss: 4.2292 - acc: 0.0555 - ETA: 19s - loss: 4.2307 - acc: 0.0552 - ETA: 18s - loss: 4.2334 - acc: 0.0552 - ETA: 18s - loss: 4.2336 - acc: 0.0551 - ETA: 18s - loss: 4.2325 - acc: 0.0556 - ETA: 18s - loss: 4.2332 - acc: 0.0553 - ETA: 18s - loss: 4.2350 - acc: 0.0551 - ETA: 18s - loss: 4.2366 - acc: 0.0553 - ETA: 18s - loss: 4.2382 - acc: 0.0550 - ETA: 17s - loss: 4.2386 - acc: 0.0552 - ETA: 17s - loss: 4.2388 - acc: 0.0555 - ETA: 17s - loss: 4.2376 - acc: 0.0552 - ETA: 17s - loss: 4.2383 - acc: 0.0556 - ETA: 17s - loss: 4.2384 - acc: 0.0558 - ETA: 17s - loss: 4.2373 - acc: 0.0560 - ETA: 17s - loss: 4.2372 - acc: 0.0563 - ETA: 16s - loss: 4.2367 - acc: 0.0562 - ETA: 16s - loss: 4.2353 - acc: 0.0560 - ETA: 16s - loss: 4.2347 - acc: 0.0562 - ETA: 16s - loss: 4.2347 - acc: 0.0561 - ETA: 16s - loss: 4.2355 - acc: 0.0563 - ETA: 16s - loss: 4.2341 - acc: 0.0563 - ETA: 16s - loss: 4.2334 - acc: 0.0567 - ETA: 15s - loss: 4.2357 - acc: 0.0567 - ETA: 15s - loss: 4.2369 - acc: 0.0567 - ETA: 15s - loss: 4.2371 - acc: 0.0571 - ETA: 15s - loss: 4.2384 - acc: 0.0568 - ETA: 15s - loss: 4.2361 - acc: 0.0572 - ETA: 15s - loss: 4.2376 - acc: 0.0574 - ETA: 15s - loss: 4.2389 - acc: 0.0576 - ETA: 14s - loss: 4.2409 - acc: 0.0574 - ETA: 14s - loss: 4.2408 - acc: 0.0571 - ETA: 14s - loss: 4.2425 - acc: 0.0571 - ETA: 14s - loss: 4.2426 - acc: 0.0571 - ETA: 14s - loss: 4.2431 - acc: 0.0568 - ETA: 14s - loss: 4.2427 - acc: 0.0566 - ETA: 14s - loss: 4.2432 - acc: 0.0563 - ETA: 13s - loss: 4.2436 - acc: 0.0563 - ETA: 13s - loss: 4.2438 - acc: 0.0565 - ETA: 13s - loss: 4.2427 - acc: 0.0565 - ETA: 13s - loss: 4.2410 - acc: 0.0566 - ETA: 13s - loss: 4.2395 - acc: 0.0566 - ETA: 13s - loss: 4.2406 - acc: 0.0564 - ETA: 12s - loss: 4.2403 - acc: 0.0564 - ETA: 12s - loss: 4.2392 - acc: 0.0563 - ETA: 12s - loss: 4.2393 - acc: 0.0563 - ETA: 12s - loss: 4.2411 - acc: 0.0561 - ETA: 12s - loss: 4.2405 - acc: 0.0558 - ETA: 12s - loss: 4.2394 - acc: 0.0558 - ETA: 12s - loss: 4.2389 - acc: 0.0558 - ETA: 11s - loss: 4.2397 - acc: 0.0558 - ETA: 11s - loss: 4.2394 - acc: 0.0556 - ETA: 11s - loss: 4.2405 - acc: 0.0553 - ETA: 11s - loss: 4.2420 - acc: 0.0553 - ETA: 11s - loss: 4.2422 - acc: 0.0553 - ETA: 11s - loss: 4.2442 - acc: 0.0551 - ETA: 11s - loss: 4.2447 - acc: 0.0551 - ETA: 10s - loss: 4.2444 - acc: 0.0552 - ETA: 10s - loss: 4.2449 - acc: 0.0552 - ETA: 10s - loss: 4.2446 - acc: 0.0550 - ETA: 10s - loss: 4.2439 - acc: 0.0552 - ETA: 10s - loss: 4.2442 - acc: 0.0550 - ETA: 10s - loss: 4.2434 - acc: 0.0549 - ETA: 10s - loss: 4.2437 - acc: 0.0551 - ETA: 9s - loss: 4.2425 - acc: 0.0553 - ETA: 9s - loss: 4.2414 - acc: 0.0551 - ETA: 9s - loss: 4.2427 - acc: 0.0549 - ETA: 9s - loss: 4.2423 - acc: 0.0550 - ETA: 9s - loss: 4.2413 - acc: 0.0548 - ETA: 9s - loss: 4.2411 - acc: 0.0550 - ETA: 9s - loss: 4.2403 - acc: 0.0550 - ETA: 8s - loss: 4.2401 - acc: 0.0548 - ETA: 8s - loss: 4.2399 - acc: 0.0548 - ETA: 8s - loss: 4.2405 - acc: 0.0546 - ETA: 8s - loss: 4.2405 - acc: 0.0544 - ETA: 8s - loss: 4.2405 - acc: 0.0545 - ETA: 8s - loss: 4.2420 - acc: 0.0543 - ETA: 8s - loss: 4.2419 - acc: 0.0541 - ETA: 7s - loss: 4.2438 - acc: 0.0541 - ETA: 7s - loss: 4.2441 - acc: 0.0541 - ETA: 7s - loss: 4.2436 - acc: 0.0543 - ETA: 7s - loss: 4.2451 - acc: 0.0541 - ETA: 7s - loss: 4.2453 - acc: 0.0541 - ETA: 7s - loss: 4.2455 - acc: 0.0539 - ETA: 7s - loss: 4.2452 - acc: 0.0542 - ETA: 6s - loss: 4.2452 - acc: 0.0542 - ETA: 6s - loss: 4.2460 - acc: 0.0540 - ETA: 6s - loss: 4.2461 - acc: 0.0538 - ETA: 6s - loss: 4.2468 - acc: 0.0540 - ETA: 6s - loss: 4.2473 - acc: 0.0540 - ETA: 6s - loss: 4.2469 - acc: 0.0541 - ETA: 6s - loss: 4.2472 - acc: 0.0541 - ETA: 5s - loss: 4.2481 - acc: 0.0539 - ETA: 5s - loss: 4.2479 - acc: 0.0537 - ETA: 5s - loss: 4.2463 - acc: 0.0541 - ETA: 5s - loss: 4.2460 - acc: 0.0539 - ETA: 5s - loss: 4.2462 - acc: 0.0537 - ETA: 5s - loss: 4.2465 - acc: 0.0535 - ETA: 5s - loss: 4.2465 - acc: 0.0535 - ETA: 4s - loss: 4.2456 - acc: 0.0537 - ETA: 4s - loss: 4.2451 - acc: 0.0537 - ETA: 4s - loss: 4.2450 - acc: 0.0536 - ETA: 4s - loss: 4.2454 - acc: 0.0538 - ETA: 4s - loss: 4.2458 - acc: 0.0538 - ETA: 4s - loss: 4.2471 - acc: 0.0539 - ETA: 4s - loss: 4.2477 - acc: 0.0539 - ETA: 3s - loss: 4.2483 - acc: 0.0539 - ETA: 3s - loss: 4.2496 - acc: 0.0539 - ETA: 3s - loss: 4.2496 - acc: 0.0540 - ETA: 3s - loss: 4.2495 - acc: 0.0542 - ETA: 3s - loss: 4.2495 - acc: 0.0542 - ETA: 3s - loss: 4.2498 - acc: 0.0542 - ETA: 3s - loss: 4.2504 - acc: 0.0540 - ETA: 2s - loss: 4.2507 - acc: 0.0538 - ETA: 2s - loss: 4.2506 - acc: 0.0538 - ETA: 2s - loss: 4.2502 - acc: 0.0536 - ETA: 2s - loss: 4.2495 - acc: 0.0538 - ETA: 2s - loss: 4.2489 - acc: 0.0538 - ETA: 2s - loss: 4.2485 - acc: 0.0536 - ETA: 2s - loss: 4.2487 - acc: 0.0536 - ETA: 1s - loss: 4.2478 - acc: 0.0536 - ETA: 1s - loss: 4.2476 - acc: 0.0540 - ETA: 1s - loss: 4.2468 - acc: 0.0540 - ETA: 1s - loss: 4.2474 - acc: 0.0542 - ETA: 1s - loss: 4.2465 - acc: 0.0543 - ETA: 1s - loss: 4.2476 - acc: 0.0544 - ETA: 1s - loss: 4.2475 - acc: 0.0544 - ETA: 0s - loss: 4.2468 - acc: 0.0544 - ETA: 0s - loss: 4.2465 - acc: 0.0543 - ETA: 0s - loss: 4.2451 - acc: 0.0547 - ETA: 0s - loss: 4.2449 - acc: 0.0548 - ETA: 0s - loss: 4.2438 - acc: 0.0547 - ETA: 0s - loss: 4.2439 - acc: 0.0545Epoch 00016: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 4.2446 - acc: 0.0543 - val_loss: 4.3749 - val_acc: 0.0443 Epoch 18/40 6660/6680 [============================>.] - ETA: 48s - loss: 4.2468 - acc: 0.1000 - ETA: 47s - loss: 4.3214 - acc: 0.0500 - ETA: 48s - loss: 4.3429 - acc: 0.0333 - ETA: 48s - loss: 4.2595 - acc: 0.0375 - ETA: 48s - loss: 4.3146 - acc: 0.0300 - ETA: 47s - loss: 4.3215 - acc: 0.0250 - ETA: 47s - loss: 4.2821 - acc: 0.0500 - ETA: 47s - loss: 4.2895 - acc: 0.0625 - ETA: 47s - loss: 4.3005 - acc: 0.0667 - ETA: 47s - loss: 4.2500 - acc: 0.0700 - ETA: 47s - loss: 4.2253 - acc: 0.0727 - ETA: 47s - loss: 4.2222 - acc: 0.0667 - ETA: 46s - loss: 4.2484 - acc: 0.0692 - ETA: 46s - loss: 4.2617 - acc: 0.0643 - ETA: 46s - loss: 4.2187 - acc: 0.0667 - ETA: 46s - loss: 4.2138 - acc: 0.0656 - ETA: 46s - loss: 4.2130 - acc: 0.0647 - ETA: 45s - loss: 4.2015 - acc: 0.0611 - ETA: 45s - loss: 4.2013 - acc: 0.0579 - ETA: 45s - loss: 4.1832 - acc: 0.0550 - ETA: 45s - loss: 4.2034 - acc: 0.0524 - ETA: 45s - loss: 4.2108 - acc: 0.0523 - ETA: 45s - loss: 4.1913 - acc: 0.0565 - ETA: 44s - loss: 4.1959 - acc: 0.0563 - ETA: 44s - loss: 4.1857 - acc: 0.0540 - ETA: 44s - loss: 4.1878 - acc: 0.0538 - ETA: 44s - loss: 4.1919 - acc: 0.0556 - ETA: 44s - loss: 4.1808 - acc: 0.0536 - ETA: 44s - loss: 4.1730 - acc: 0.0517 - ETA: 43s - loss: 4.1713 - acc: 0.0533 - ETA: 43s - loss: 4.1687 - acc: 0.0548 - ETA: 43s - loss: 4.1631 - acc: 0.0547 - ETA: 43s - loss: 4.1748 - acc: 0.0530 - ETA: 43s - loss: 4.1894 - acc: 0.0559 - ETA: 43s - loss: 4.1972 - acc: 0.0543 - ETA: 43s - loss: 4.1900 - acc: 0.0528 - ETA: 43s - loss: 4.1928 - acc: 0.0527 - ETA: 42s - loss: 4.1904 - acc: 0.0526 - ETA: 42s - loss: 4.1959 - acc: 0.0526 - ETA: 42s - loss: 4.1921 - acc: 0.0525 - ETA: 42s - loss: 4.2038 - acc: 0.0512 - ETA: 42s - loss: 4.2119 - acc: 0.0500 - ETA: 42s - loss: 4.2033 - acc: 0.0512 - ETA: 42s - loss: 4.1977 - acc: 0.0523 - ETA: 41s - loss: 4.2178 - acc: 0.0511 - ETA: 41s - loss: 4.2169 - acc: 0.0543 - ETA: 41s - loss: 4.2099 - acc: 0.0564 - ETA: 41s - loss: 4.2119 - acc: 0.0563 - ETA: 41s - loss: 4.2111 - acc: 0.0551 - ETA: 41s - loss: 4.2113 - acc: 0.0540 - ETA: 40s - loss: 4.2060 - acc: 0.0539 - ETA: 40s - loss: 4.2118 - acc: 0.0529 - ETA: 40s - loss: 4.2135 - acc: 0.0519 - ETA: 40s - loss: 4.2116 - acc: 0.0519 - ETA: 40s - loss: 4.2112 - acc: 0.0518 - ETA: 40s - loss: 4.2086 - acc: 0.0527 - ETA: 40s - loss: 4.2111 - acc: 0.0518 - ETA: 39s - loss: 4.2041 - acc: 0.0534 - ETA: 39s - loss: 4.2047 - acc: 0.0534 - ETA: 39s - loss: 4.2107 - acc: 0.0542 - ETA: 39s - loss: 4.2104 - acc: 0.0533 - ETA: 39s - loss: 4.2112 - acc: 0.0524 - ETA: 39s - loss: 4.2125 - acc: 0.0524 - ETA: 39s - loss: 4.2144 - acc: 0.0523 - ETA: 38s - loss: 4.2117 - acc: 0.0515 - ETA: 38s - loss: 4.2134 - acc: 0.0523 - ETA: 38s - loss: 4.2115 - acc: 0.0522 - ETA: 38s - loss: 4.2119 - acc: 0.0515 - ETA: 38s - loss: 4.2109 - acc: 0.0514 - ETA: 38s - loss: 4.2080 - acc: 0.0507 - ETA: 38s - loss: 4.2122 - acc: 0.0500 - ETA: 37s - loss: 4.2142 - acc: 0.0493 - ETA: 37s - loss: 4.2161 - acc: 0.0500 - ETA: 37s - loss: 4.2168 - acc: 0.0493 - ETA: 37s - loss: 4.2158 - acc: 0.0487 - ETA: 37s - loss: 4.2125 - acc: 0.0480 - ETA: 37s - loss: 4.2125 - acc: 0.0481 - ETA: 36s - loss: 4.2058 - acc: 0.0494 - ETA: 36s - loss: 4.2066 - acc: 0.0487 - ETA: 36s - loss: 4.2043 - acc: 0.0494 - ETA: 36s - loss: 4.2043 - acc: 0.0494 - ETA: 36s - loss: 4.2142 - acc: 0.0494 - ETA: 36s - loss: 4.2109 - acc: 0.0500 - ETA: 36s - loss: 4.2169 - acc: 0.0500 - ETA: 36s - loss: 4.2170 - acc: 0.0512 - ETA: 35s - loss: 4.2129 - acc: 0.0506 - ETA: 35s - loss: 4.2104 - acc: 0.0511 - ETA: 35s - loss: 4.2065 - acc: 0.0523 - ETA: 35s - loss: 4.1981 - acc: 0.0534 - ETA: 35s - loss: 4.1971 - acc: 0.0528 - ETA: 35s - loss: 4.1986 - acc: 0.0527 - ETA: 34s - loss: 4.1981 - acc: 0.0533 - ETA: 34s - loss: 4.2014 - acc: 0.0538 - ETA: 34s - loss: 4.1991 - acc: 0.0537 - ETA: 34s - loss: 4.2006 - acc: 0.0532 - ETA: 34s - loss: 4.1984 - acc: 0.0531 - ETA: 34s - loss: 4.1929 - acc: 0.0541 - ETA: 34s - loss: 4.1948 - acc: 0.0541 - ETA: 33s - loss: 4.1921 - acc: 0.0540 - ETA: 33s - loss: 4.1887 - acc: 0.0540 - ETA: 33s - loss: 4.1905 - acc: 0.0535 - ETA: 33s - loss: 4.1941 - acc: 0.0529 - ETA: 33s - loss: 4.1979 - acc: 0.0524 - ETA: 33s - loss: 4.1972 - acc: 0.0529 - ETA: 33s - loss: 4.1983 - acc: 0.0533 - ETA: 32s - loss: 4.1980 - acc: 0.0533 - ETA: 32s - loss: 4.1940 - acc: 0.0533 - ETA: 32s - loss: 4.1910 - acc: 0.0532 - ETA: 32s - loss: 4.1925 - acc: 0.0528 - ETA: 32s - loss: 4.1932 - acc: 0.0523 - ETA: 32s - loss: 4.1943 - acc: 0.0523 - ETA: 32s - loss: 4.1957 - acc: 0.0522 - ETA: 31s - loss: 4.1933 - acc: 0.0522 - ETA: 31s - loss: 4.1932 - acc: 0.0518 - ETA: 31s - loss: 4.1958 - acc: 0.0513 - ETA: 31s - loss: 4.1966 - acc: 0.0513 - ETA: 31s - loss: 4.1977 - acc: 0.0513 - ETA: 31s - loss: 4.1962 - acc: 0.0513 - ETA: 31s - loss: 4.1932 - acc: 0.0513 - ETA: 30s - loss: 4.1933 - acc: 0.0517 - ETA: 30s - loss: 4.1931 - acc: 0.0517 - ETA: 30s - loss: 4.1961 - acc: 0.0516 - ETA: 30s - loss: 4.1941 - acc: 0.0516 - ETA: 30s - loss: 4.1943 - acc: 0.0512 - ETA: 30s - loss: 4.1930 - acc: 0.0512 - ETA: 30s - loss: 4.1911 - acc: 0.0516 - ETA: 29s - loss: 4.1898 - acc: 0.0524 - ETA: 29s - loss: 4.1918 - acc: 0.0527 - ETA: 29s - loss: 4.1932 - acc: 0.0523 - ETA: 29s - loss: 4.1916 - acc: 0.0535 - ETA: 29s - loss: 4.1907 - acc: 0.0542 - ETA: 29s - loss: 4.1911 - acc: 0.0542 - ETA: 28s - loss: 4.1915 - acc: 0.0541 - ETA: 28s - loss: 4.1902 - acc: 0.0545 - ETA: 28s - loss: 4.1867 - acc: 0.0541 - ETA: 28s - loss: 4.1872 - acc: 0.0544 - ETA: 28s - loss: 4.1937 - acc: 0.0544 - ETA: 28s - loss: 4.1944 - acc: 0.0540 - ETA: 28s - loss: 4.1953 - acc: 0.0543 - ETA: 27s - loss: 4.1955 - acc: 0.0543 - ETA: 27s - loss: 4.1946 - acc: 0.0539 - ETA: 27s - loss: 4.1951 - acc: 0.0539 - ETA: 27s - loss: 4.1947 - acc: 0.0538 - ETA: 27s - loss: 4.1940 - acc: 0.0542 - ETA: 27s - loss: 4.1925 - acc: 0.0545 - ETA: 27s - loss: 4.1952 - acc: 0.0548 - ETA: 26s - loss: 4.1973 - acc: 0.0544 - ETA: 26s - loss: 4.1967 - acc: 0.0544 - ETA: 26s - loss: 4.1973 - acc: 0.0540 - ETA: 26s - loss: 4.1962 - acc: 0.0550 - ETA: 26s - loss: 4.1953 - acc: 0.0546 - ETA: 26s - loss: 4.1930 - acc: 0.0546 - ETA: 26s - loss: 4.1926 - acc: 0.0549 - ETA: 25s - loss: 4.1891 - acc: 0.0555 - ETA: 25s - loss: 4.1890 - acc: 0.0555 - ETA: 25s - loss: 4.1886 - acc: 0.0551 - ETA: 25s - loss: 4.1888 - acc: 0.0557 - ETA: 25s - loss: 4.1903 - acc: 0.0554 - ETA: 25s - loss: 4.1887 - acc: 0.0553 - ETA: 25s - loss: 4.1881 - acc: 0.0556 - ETA: 24s - loss: 4.1895 - acc: 0.0556 - ETA: 24s - loss: 4.1916 - acc: 0.0552 - ETA: 24s - loss: 4.1879 - acc: 0.0564 - ETA: 24s - loss: 4.1875 - acc: 0.0567 - ETA: 24s - loss: 4.1873 - acc: 0.0564 - ETA: 24s - loss: 4.1892 - acc: 0.0560 - ETA: 24s - loss: 4.1880 - acc: 0.0557 - ETA: 23s - loss: 4.1874 - acc: 0.0554 - ETA: 23s - loss: 4.1900 - acc: 0.0553 - ETA: 23s - loss: 4.1932 - acc: 0.0553 - ETA: 23s - loss: 4.1937 - acc: 0.0556 - ETA: 23s - loss: 4.1931 - acc: 0.0555 - ETA: 23s - loss: 4.1907 - acc: 0.0558 - ETA: 23s - loss: 4.1905 - acc: 0.0555 - ETA: 22s - loss: 4.1907 - acc: 0.0551 - ETA: 22s - loss: 4.1881 - acc: 0.0554 - ETA: 22s - loss: 4.1888 - acc: 0.0554 - ETA: 22s - loss: 4.1869 - acc: 0.0553 - ETA: 22s - loss: 4.1871 - acc: 0.0556 - ETA: 22s - loss: 4.1880 - acc: 0.0553 - ETA: 22s - loss: 4.1903 - acc: 0.0552 - ETA: 21s - loss: 4.1942 - acc: 0.0549 - ETA: 21s - loss: 4.1940 - acc: 0.0557 - ETA: 21s - loss: 4.1950 - acc: 0.0557 - ETA: 21s - loss: 4.1945 - acc: 0.0557 - ETA: 21s - loss: 4.1951 - acc: 0.0559 - ETA: 21s - loss: 4.1948 - acc: 0.0561 - ETA: 21s - loss: 4.1938 - acc: 0.0559 - ETA: 20s - loss: 4.1930 - acc: 0.0558 - ETA: 20s - loss: 4.1927 - acc: 0.0558 - ETA: 20s - loss: 4.1934 - acc: 0.0560 - ETA: 20s - loss: 4.1911 - acc: 0.0563 - ETA: 20s - loss: 4.1899 - acc: 0.0565 - ETA: 20s - loss: 4.1909 - acc: 0.0567 - ETA: 20s - loss: 4.1909 - acc: 0.0569 - ETA: 19s - loss: 4.1895 - acc: 0.0569 - ETA: 19s - loss: 4.1908 - acc: 0.0566 - ETA: 19s - loss: 4.1904 - acc: 0.0568 - ETA: 19s - loss: 4.1898 - acc: 0.0570 - ETA: 19s - loss: 4.1884 - acc: 0.0575 - ETA: 19s - loss: 4.1862 - acc: 0.0585 - ETA: 19s - loss: 4.1881 - acc: 0.0582 - ETA: 18s - loss: 4.1865 - acc: 0.0586 - ETA: 18s - loss: 4.1874 - acc: 0.0588 - ETA: 18s - loss: 4.1867 - acc: 0.0588 - ETA: 18s - loss: 4.1865 - acc: 0.0590 - ETA: 18s - loss: 4.1841 - acc: 0.0597 - ETA: 18s - loss: 4.1836 - acc: 0.0596 - ETA: 18s - loss: 4.1828 - acc: 0.0596 - ETA: 17s - loss: 4.1816 - acc: 0.0595 - ETA: 17s - loss: 4.1816 - acc: 0.0595 - ETA: 17s - loss: 4.1818 - acc: 0.0597 - ETA: 17s - loss: 4.1800 - acc: 0.0599 - ETA: 17s - loss: 4.1809 - acc: 0.0598 - ETA: 17s - loss: 4.1802 - acc: 0.0600 - ETA: 17s - loss: 4.1812 - acc: 0.0600 - ETA: 16s - loss: 4.1803 - acc: 0.0604 - ETA: 16s - loss: 4.1805 - acc: 0.0601 - ETA: 16s - loss: 4.1832 - acc: 0.0598 - ETA: 16s - loss: 4.1843 - acc: 0.0598 - ETA: 16s - loss: 4.1870 - acc: 0.0600 - ETA: 16s - loss: 4.1880 - acc: 0.0597 - ETA: 16s - loss: 4.1872 - acc: 0.0596 - ETA: 15s - loss: 4.1872 - acc: 0.0598 - ETA: 15s - loss: 4.1871 - acc: 0.0598 - ETA: 15s - loss: 4.1874 - acc: 0.0597 - ETA: 15s - loss: 4.1882 - acc: 0.0595 - ETA: 15s - loss: 4.1887 - acc: 0.0596 - ETA: 15s - loss: 4.1874 - acc: 0.0596 - ETA: 15s - loss: 4.1872 - acc: 0.0593 - ETA: 14s - loss: 4.1847 - acc: 0.0600 - ETA: 14s - loss: 4.1833 - acc: 0.0597 - ETA: 14s - loss: 4.1825 - acc: 0.0597 - ETA: 14s - loss: 4.1825 - acc: 0.0598 - ETA: 14s - loss: 4.1836 - acc: 0.0598 - ETA: 14s - loss: 4.1836 - acc: 0.0597 - ETA: 14s - loss: 4.1832 - acc: 0.0595 - ETA: 13s - loss: 4.1830 - acc: 0.0592 - ETA: 13s - loss: 4.1827 - acc: 0.0592 - ETA: 13s - loss: 4.1820 - acc: 0.0594 - ETA: 13s - loss: 4.1814 - acc: 0.0598 - ETA: 13s - loss: 4.1801 - acc: 0.0597 - ETA: 13s - loss: 4.1793 - acc: 0.0599 - ETA: 12s - loss: 4.1789 - acc: 0.0598 - ETA: 12s - loss: 4.1794 - acc: 0.0596 - ETA: 12s - loss: 4.1788 - acc: 0.0598 - ETA: 12s - loss: 4.1787 - acc: 0.0601 - ETA: 12s - loss: 4.1787 - acc: 0.0601 - ETA: 12s - loss: 4.1793 - acc: 0.0600 - ETA: 12s - loss: 4.1789 - acc: 0.0602 - ETA: 11s - loss: 4.1804 - acc: 0.0602 - ETA: 11s - loss: 4.1792 - acc: 0.0605 - ETA: 11s - loss: 4.1782 - acc: 0.0607 - ETA: 11s - loss: 4.1775 - acc: 0.0606 - ETA: 11s - loss: 4.1776 - acc: 0.0608 - ETA: 11s - loss: 4.1786 - acc: 0.0609 - ETA: 11s - loss: 4.1790 - acc: 0.0607 - ETA: 10s - loss: 4.1782 - acc: 0.0607 - ETA: 10s - loss: 4.1777 - acc: 0.0606 - ETA: 10s - loss: 4.1767 - acc: 0.0604 - ETA: 10s - loss: 4.1806 - acc: 0.0605 - ETA: 10s - loss: 4.1797 - acc: 0.0607 - ETA: 10s - loss: 4.1812 - acc: 0.0605 - ETA: 10s - loss: 4.1827 - acc: 0.0604 - ETA: 9s - loss: 4.1822 - acc: 0.0608 - ETA: 9s - loss: 4.1823 - acc: 0.0613 - ETA: 9s - loss: 4.1822 - acc: 0.0610 - ETA: 9s - loss: 4.1823 - acc: 0.0610 - ETA: 9s - loss: 4.1818 - acc: 0.0608 - ETA: 9s - loss: 4.1831 - acc: 0.0611 - ETA: 9s - loss: 4.1835 - acc: 0.0613 - ETA: 8s - loss: 4.1841 - acc: 0.0610 - ETA: 8s - loss: 4.1837 - acc: 0.0610 - ETA: 8s - loss: 4.1815 - acc: 0.0615 - ETA: 8s - loss: 4.1829 - acc: 0.0616 - ETA: 8s - loss: 4.1840 - acc: 0.0614 - ETA: 8s - loss: 4.1840 - acc: 0.0614 - ETA: 8s - loss: 4.1844 - acc: 0.0615 - ETA: 7s - loss: 4.1841 - acc: 0.0615 - ETA: 7s - loss: 4.1838 - acc: 0.0613 - ETA: 7s - loss: 4.1836 - acc: 0.0612 - ETA: 7s - loss: 4.1844 - acc: 0.0612 - ETA: 7s - loss: 4.1853 - acc: 0.0610 - ETA: 7s - loss: 4.1856 - acc: 0.0609 - ETA: 7s - loss: 4.1853 - acc: 0.0609 - ETA: 6s - loss: 4.1849 - acc: 0.0612 - ETA: 6s - loss: 4.1855 - acc: 0.0613 - ETA: 6s - loss: 4.1857 - acc: 0.0613 - ETA: 6s - loss: 4.1865 - acc: 0.0612 - ETA: 6s - loss: 4.1872 - acc: 0.0610 - ETA: 6s - loss: 4.1880 - acc: 0.0613 - ETA: 6s - loss: 4.1873 - acc: 0.0611 - ETA: 5s - loss: 4.1877 - acc: 0.0611 - ETA: 5s - loss: 4.1876 - acc: 0.0612 - ETA: 5s - loss: 4.1877 - acc: 0.0612 - ETA: 5s - loss: 4.1879 - acc: 0.0611 - ETA: 5s - loss: 4.1884 - acc: 0.0611 - ETA: 5s - loss: 4.1900 - acc: 0.0609 - ETA: 5s - loss: 4.1899 - acc: 0.0610 - ETA: 4s - loss: 4.1901 - acc: 0.0608 - ETA: 4s - loss: 4.1903 - acc: 0.0606 - ETA: 4s - loss: 4.1907 - acc: 0.0604 - ETA: 4s - loss: 4.1897 - acc: 0.0607 - ETA: 4s - loss: 4.1893 - acc: 0.0609 - ETA: 4s - loss: 4.1894 - acc: 0.0608 - ETA: 4s - loss: 4.1898 - acc: 0.0608 - ETA: 3s - loss: 4.1910 - acc: 0.0607 - ETA: 3s - loss: 4.1906 - acc: 0.0607 - ETA: 3s - loss: 4.1903 - acc: 0.0605 - ETA: 3s - loss: 4.1887 - acc: 0.0608 - ETA: 3s - loss: 4.1906 - acc: 0.0611 - ETA: 3s - loss: 4.1908 - acc: 0.0612 - ETA: 3s - loss: 4.1905 - acc: 0.0613 - ETA: 2s - loss: 4.1912 - acc: 0.0613 - ETA: 2s - loss: 4.1904 - acc: 0.0616 - ETA: 2s - loss: 4.1907 - acc: 0.0616 - ETA: 2s - loss: 4.1894 - acc: 0.0617 - ETA: 2s - loss: 4.1890 - acc: 0.0619 - ETA: 2s - loss: 4.1885 - acc: 0.0618 - ETA: 2s - loss: 4.1884 - acc: 0.0619 - ETA: 1s - loss: 4.1880 - acc: 0.0618 - ETA: 1s - loss: 4.1874 - acc: 0.0621 - ETA: 1s - loss: 4.1872 - acc: 0.0622 - ETA: 1s - loss: 4.1862 - acc: 0.0622 - ETA: 1s - loss: 4.1868 - acc: 0.0625 - ETA: 1s - loss: 4.1879 - acc: 0.0623 - ETA: 1s - loss: 4.1873 - acc: 0.0622 - ETA: 0s - loss: 4.1866 - acc: 0.0622 - ETA: 0s - loss: 4.1859 - acc: 0.0625 - ETA: 0s - loss: 4.1858 - acc: 0.0623 - ETA: 0s - loss: 4.1860 - acc: 0.0622 - ETA: 0s - loss: 4.1861 - acc: 0.0622 - ETA: 0s - loss: 4.1852 - acc: 0.0622Epoch 00017: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 4.1858 - acc: 0.0623 - val_loss: 4.4084 - val_acc: 0.0587 Epoch 19/40 6660/6680 [============================>.] - ETA: 48s - loss: 4.6179 - acc: 0.1000 - ETA: 46s - loss: 4.3418 - acc: 0.0750 - ETA: 46s - loss: 4.2704 - acc: 0.0833 - ETA: 46s - loss: 4.2286 - acc: 0.0625 - ETA: 46s - loss: 4.1780 - acc: 0.0600 - ETA: 46s - loss: 4.2319 - acc: 0.0667 - ETA: 46s - loss: 4.2482 - acc: 0.0643 - ETA: 46s - loss: 4.2043 - acc: 0.0625 - ETA: 46s - loss: 4.1395 - acc: 0.0722 - ETA: 46s - loss: 4.1241 - acc: 0.0800 - ETA: 45s - loss: 4.1201 - acc: 0.0864 - ETA: 45s - loss: 4.1004 - acc: 0.0792 - ETA: 45s - loss: 4.1067 - acc: 0.0808 - ETA: 45s - loss: 4.0982 - acc: 0.0786 - ETA: 45s - loss: 4.1118 - acc: 0.0733 - ETA: 45s - loss: 4.1153 - acc: 0.0750 - ETA: 45s - loss: 4.1007 - acc: 0.0735 - ETA: 45s - loss: 4.1140 - acc: 0.0694 - ETA: 44s - loss: 4.1295 - acc: 0.0711 - ETA: 44s - loss: 4.1476 - acc: 0.0675 - ETA: 44s - loss: 4.1473 - acc: 0.0643 - ETA: 44s - loss: 4.1514 - acc: 0.0636 - ETA: 44s - loss: 4.1586 - acc: 0.0630 - ETA: 44s - loss: 4.1533 - acc: 0.0646 - ETA: 44s - loss: 4.1437 - acc: 0.0640 - ETA: 44s - loss: 4.1323 - acc: 0.0635 - ETA: 44s - loss: 4.1497 - acc: 0.0630 - ETA: 43s - loss: 4.1638 - acc: 0.0625 - ETA: 43s - loss: 4.1632 - acc: 0.0638 - ETA: 43s - loss: 4.1435 - acc: 0.0700 - ETA: 43s - loss: 4.1259 - acc: 0.0726 - ETA: 43s - loss: 4.1178 - acc: 0.0719 - ETA: 43s - loss: 4.1238 - acc: 0.0727 - ETA: 43s - loss: 4.1201 - acc: 0.0721 - ETA: 42s - loss: 4.1285 - acc: 0.0700 - ETA: 42s - loss: 4.1420 - acc: 0.0681 - ETA: 42s - loss: 4.1533 - acc: 0.0703 - ETA: 42s - loss: 4.1586 - acc: 0.0711 - ETA: 42s - loss: 4.1569 - acc: 0.0705 - ETA: 42s - loss: 4.1681 - acc: 0.0688 - ETA: 42s - loss: 4.1741 - acc: 0.0683 - ETA: 41s - loss: 4.1650 - acc: 0.0690 - ETA: 41s - loss: 4.1611 - acc: 0.0698 - ETA: 41s - loss: 4.1616 - acc: 0.0693 - ETA: 41s - loss: 4.1598 - acc: 0.0689 - ETA: 41s - loss: 4.1634 - acc: 0.0674 - ETA: 41s - loss: 4.1591 - acc: 0.0670 - ETA: 41s - loss: 4.1606 - acc: 0.0667 - ETA: 40s - loss: 4.1615 - acc: 0.0653 - ETA: 40s - loss: 4.1637 - acc: 0.0660 - ETA: 40s - loss: 4.1608 - acc: 0.0667 - ETA: 40s - loss: 4.1622 - acc: 0.0663 - ETA: 40s - loss: 4.1576 - acc: 0.0670 - ETA: 40s - loss: 4.1639 - acc: 0.0667 - ETA: 40s - loss: 4.1659 - acc: 0.0673 - ETA: 40s - loss: 4.1842 - acc: 0.0661 - ETA: 39s - loss: 4.1916 - acc: 0.0649 - ETA: 39s - loss: 4.1917 - acc: 0.0647 - ETA: 39s - loss: 4.1923 - acc: 0.0644 - ETA: 39s - loss: 4.1908 - acc: 0.0642 - ETA: 39s - loss: 4.1885 - acc: 0.0648 - ETA: 39s - loss: 4.1867 - acc: 0.0645 - ETA: 38s - loss: 4.1834 - acc: 0.0635 - ETA: 38s - loss: 4.1796 - acc: 0.0633 - ETA: 38s - loss: 4.1777 - acc: 0.0623 - ETA: 38s - loss: 4.1797 - acc: 0.0614 - ETA: 38s - loss: 4.1766 - acc: 0.0612 - ETA: 38s - loss: 4.1753 - acc: 0.0610 - ETA: 38s - loss: 4.1726 - acc: 0.0601 - ETA: 37s - loss: 4.1708 - acc: 0.0600 - ETA: 37s - loss: 4.1744 - acc: 0.0592 - ETA: 37s - loss: 4.1792 - acc: 0.0590 - ETA: 37s - loss: 4.1843 - acc: 0.0589 - ETA: 37s - loss: 4.1804 - acc: 0.0588 - ETA: 37s - loss: 4.1793 - acc: 0.0587 - ETA: 37s - loss: 4.1759 - acc: 0.0592 - ETA: 36s - loss: 4.1747 - acc: 0.0591 - ETA: 36s - loss: 4.1711 - acc: 0.0603 - ETA: 36s - loss: 4.1674 - acc: 0.0608 - ETA: 36s - loss: 4.1652 - acc: 0.0606 - ETA: 36s - loss: 4.1649 - acc: 0.0617 - ETA: 36s - loss: 4.1633 - acc: 0.0622 - ETA: 36s - loss: 4.1609 - acc: 0.0627 - ETA: 35s - loss: 4.1601 - acc: 0.0637 - ETA: 35s - loss: 4.1574 - acc: 0.0635 - ETA: 35s - loss: 4.1528 - acc: 0.0634 - ETA: 35s - loss: 4.1493 - acc: 0.0632 - ETA: 35s - loss: 4.1507 - acc: 0.0631 - ETA: 35s - loss: 4.1538 - acc: 0.0624 - ETA: 34s - loss: 4.1554 - acc: 0.0617 - ETA: 34s - loss: 4.1513 - acc: 0.0615 - ETA: 34s - loss: 4.1499 - acc: 0.0620 - ETA: 34s - loss: 4.1478 - acc: 0.0613 - ETA: 34s - loss: 4.1547 - acc: 0.0606 - ETA: 34s - loss: 4.1500 - acc: 0.0611 - ETA: 34s - loss: 4.1503 - acc: 0.0620 - ETA: 33s - loss: 4.1484 - acc: 0.0629 - ETA: 33s - loss: 4.1488 - acc: 0.0628 - ETA: 33s - loss: 4.1496 - acc: 0.0621 - ETA: 33s - loss: 4.1527 - acc: 0.0615 - ETA: 33s - loss: 4.1526 - acc: 0.0614 - ETA: 33s - loss: 4.1525 - acc: 0.0613 - ETA: 33s - loss: 4.1553 - acc: 0.0612 - ETA: 32s - loss: 4.1527 - acc: 0.0615 - ETA: 32s - loss: 4.1543 - acc: 0.0614 - ETA: 32s - loss: 4.1545 - acc: 0.0608 - ETA: 32s - loss: 4.1500 - acc: 0.0617 - ETA: 32s - loss: 4.1503 - acc: 0.0611 - ETA: 32s - loss: 4.1501 - acc: 0.0615 - ETA: 32s - loss: 4.1507 - acc: 0.0618 - ETA: 32s - loss: 4.1520 - acc: 0.0622 - ETA: 31s - loss: 4.1528 - acc: 0.0621 - ETA: 31s - loss: 4.1554 - acc: 0.0628 - ETA: 31s - loss: 4.1579 - acc: 0.0627 - ETA: 31s - loss: 4.1589 - acc: 0.0635 - ETA: 31s - loss: 4.1583 - acc: 0.0634 - ETA: 31s - loss: 4.1588 - acc: 0.0628 - ETA: 30s - loss: 4.1611 - acc: 0.0636 - ETA: 30s - loss: 4.1586 - acc: 0.0634 - ETA: 30s - loss: 4.1564 - acc: 0.0638 - ETA: 30s - loss: 4.1551 - acc: 0.0636 - ETA: 30s - loss: 4.1502 - acc: 0.0643 - ETA: 30s - loss: 4.1492 - acc: 0.0642 - ETA: 30s - loss: 4.1494 - acc: 0.0641 - ETA: 30s - loss: 4.1478 - acc: 0.0640 - ETA: 29s - loss: 4.1461 - acc: 0.0643 - ETA: 29s - loss: 4.1495 - acc: 0.0638 - ETA: 29s - loss: 4.1509 - acc: 0.0637 - ETA: 29s - loss: 4.1473 - acc: 0.0647 - ETA: 29s - loss: 4.1484 - acc: 0.0650 - ETA: 29s - loss: 4.1485 - acc: 0.0645 - ETA: 29s - loss: 4.1496 - acc: 0.0640 - ETA: 28s - loss: 4.1479 - acc: 0.0647 - ETA: 28s - loss: 4.1497 - acc: 0.0642 - ETA: 28s - loss: 4.1512 - acc: 0.0648 - ETA: 28s - loss: 4.1508 - acc: 0.0643 - ETA: 28s - loss: 4.1500 - acc: 0.0642 - ETA: 28s - loss: 4.1469 - acc: 0.0645 - ETA: 27s - loss: 4.1474 - acc: 0.0644 - ETA: 27s - loss: 4.1446 - acc: 0.0639 - ETA: 27s - loss: 4.1445 - acc: 0.0638 - ETA: 27s - loss: 4.1432 - acc: 0.0634 - ETA: 27s - loss: 4.1446 - acc: 0.0636 - ETA: 27s - loss: 4.1449 - acc: 0.0632 - ETA: 27s - loss: 4.1450 - acc: 0.0628 - ETA: 26s - loss: 4.1448 - acc: 0.0623 - ETA: 26s - loss: 4.1451 - acc: 0.0622 - ETA: 26s - loss: 4.1440 - acc: 0.0625 - ETA: 26s - loss: 4.1429 - acc: 0.0628 - ETA: 26s - loss: 4.1417 - acc: 0.0630 - ETA: 26s - loss: 4.1402 - acc: 0.0629 - ETA: 26s - loss: 4.1409 - acc: 0.0628 - ETA: 25s - loss: 4.1389 - acc: 0.0627 - ETA: 25s - loss: 4.1388 - acc: 0.0623 - ETA: 25s - loss: 4.1410 - acc: 0.0623 - ETA: 25s - loss: 4.1406 - acc: 0.0625 - ETA: 25s - loss: 4.1441 - acc: 0.0621 - ETA: 25s - loss: 4.1446 - acc: 0.0617 - ETA: 25s - loss: 4.1406 - acc: 0.0619 - ETA: 24s - loss: 4.1433 - acc: 0.0616 - ETA: 24s - loss: 4.1415 - acc: 0.0615 - ETA: 24s - loss: 4.1400 - acc: 0.0614 - ETA: 24s - loss: 4.1394 - acc: 0.0610 - ETA: 24s - loss: 4.1403 - acc: 0.0613 - ETA: 24s - loss: 4.1408 - acc: 0.0618 - ETA: 24s - loss: 4.1438 - acc: 0.0623 - ETA: 23s - loss: 4.1464 - acc: 0.0623 - ETA: 23s - loss: 4.1507 - acc: 0.0619 - ETA: 23s - loss: 4.1509 - acc: 0.0627 - ETA: 23s - loss: 4.1516 - acc: 0.0626 - ETA: 23s - loss: 4.1523 - acc: 0.0626 - ETA: 23s - loss: 4.1504 - acc: 0.0634 - ETA: 23s - loss: 4.1488 - acc: 0.0633 - ETA: 22s - loss: 4.1494 - acc: 0.0629 - ETA: 22s - loss: 4.1500 - acc: 0.0631 - ETA: 22s - loss: 4.1499 - acc: 0.0628 - ETA: 22s - loss: 4.1483 - acc: 0.0630 - ETA: 22s - loss: 4.1473 - acc: 0.0632 - ETA: 22s - loss: 4.1473 - acc: 0.0628 - ETA: 22s - loss: 4.1464 - acc: 0.0633 - ETA: 21s - loss: 4.1469 - acc: 0.0630 - ETA: 21s - loss: 4.1458 - acc: 0.0635 - ETA: 21s - loss: 4.1454 - acc: 0.0634 - ETA: 21s - loss: 4.1438 - acc: 0.0639 - ETA: 21s - loss: 4.1444 - acc: 0.0638 - ETA: 21s - loss: 4.1444 - acc: 0.0640 - ETA: 21s - loss: 4.1459 - acc: 0.0639 - ETA: 20s - loss: 4.1468 - acc: 0.0646 - ETA: 20s - loss: 4.1453 - acc: 0.0643 - ETA: 20s - loss: 4.1438 - acc: 0.0642 - ETA: 20s - loss: 4.1455 - acc: 0.0639 - ETA: 20s - loss: 4.1447 - acc: 0.0638 - ETA: 20s - loss: 4.1451 - acc: 0.0635 - ETA: 20s - loss: 4.1477 - acc: 0.0631 - ETA: 19s - loss: 4.1463 - acc: 0.0631 - ETA: 19s - loss: 4.1459 - acc: 0.0633 - ETA: 19s - loss: 4.1457 - acc: 0.0629 - ETA: 19s - loss: 4.1455 - acc: 0.0626 - ETA: 19s - loss: 4.1440 - acc: 0.0631 - ETA: 19s - loss: 4.1419 - acc: 0.0633 - ETA: 19s - loss: 4.1410 - acc: 0.0639 - ETA: 18s - loss: 4.1430 - acc: 0.0636 - ETA: 18s - loss: 4.1432 - acc: 0.0635 - ETA: 18s - loss: 4.1446 - acc: 0.0632 - ETA: 18s - loss: 4.1456 - acc: 0.0632 - ETA: 18s - loss: 4.1438 - acc: 0.0638 - ETA: 18s - loss: 4.1446 - acc: 0.0635 - ETA: 18s - loss: 4.1442 - acc: 0.0635 - ETA: 17s - loss: 4.1426 - acc: 0.0639 - ETA: 17s - loss: 4.1413 - acc: 0.0636 - ETA: 17s - loss: 4.1431 - acc: 0.0633 - ETA: 17s - loss: 4.1426 - acc: 0.0632 - ETA: 17s - loss: 4.1412 - acc: 0.0631 - ETA: 17s - loss: 4.1402 - acc: 0.0633 - ETA: 17s - loss: 4.1420 - acc: 0.0630 - ETA: 16s - loss: 4.1416 - acc: 0.0632 - ETA: 16s - loss: 4.1423 - acc: 0.0629 - ETA: 16s - loss: 4.1426 - acc: 0.0628 - ETA: 16s - loss: 4.1437 - acc: 0.0626 - ETA: 16s - loss: 4.1424 - acc: 0.0627 - ETA: 16s - loss: 4.1428 - acc: 0.0627 - ETA: 16s - loss: 4.1428 - acc: 0.0628 - ETA: 15s - loss: 4.1446 - acc: 0.0628 - ETA: 15s - loss: 4.1447 - acc: 0.0627 - ETA: 15s - loss: 4.1446 - acc: 0.0636 - ETA: 15s - loss: 4.1457 - acc: 0.0633 - ETA: 15s - loss: 4.1457 - acc: 0.0632 - ETA: 15s - loss: 4.1451 - acc: 0.0634 - ETA: 15s - loss: 4.1477 - acc: 0.0631 - ETA: 14s - loss: 4.1469 - acc: 0.0635 - ETA: 14s - loss: 4.1473 - acc: 0.0634 - ETA: 14s - loss: 4.1460 - acc: 0.0631 - ETA: 14s - loss: 4.1449 - acc: 0.0635 - ETA: 14s - loss: 4.1465 - acc: 0.0632 - ETA: 14s - loss: 4.1483 - acc: 0.0630 - ETA: 14s - loss: 4.1459 - acc: 0.0633 - ETA: 13s - loss: 4.1452 - acc: 0.0633 - ETA: 13s - loss: 4.1464 - acc: 0.0630 - ETA: 13s - loss: 4.1456 - acc: 0.0632 - ETA: 13s - loss: 4.1462 - acc: 0.0631 - ETA: 13s - loss: 4.1456 - acc: 0.0635 - ETA: 13s - loss: 4.1464 - acc: 0.0634 - ETA: 13s - loss: 4.1448 - acc: 0.0638 - ETA: 12s - loss: 4.1449 - acc: 0.0639 - ETA: 12s - loss: 4.1434 - acc: 0.0643 - ETA: 12s - loss: 4.1425 - acc: 0.0646 - ETA: 12s - loss: 4.1428 - acc: 0.0644 - ETA: 12s - loss: 4.1438 - acc: 0.0645 - ETA: 12s - loss: 4.1427 - acc: 0.0649 - ETA: 12s - loss: 4.1417 - acc: 0.0652 - ETA: 11s - loss: 4.1405 - acc: 0.0653 - ETA: 11s - loss: 4.1410 - acc: 0.0653 - ETA: 11s - loss: 4.1394 - acc: 0.0654 - ETA: 11s - loss: 4.1401 - acc: 0.0654 - ETA: 11s - loss: 4.1395 - acc: 0.0655 - ETA: 11s - loss: 4.1389 - acc: 0.0654 - ETA: 11s - loss: 4.1381 - acc: 0.0656 - ETA: 10s - loss: 4.1383 - acc: 0.0655 - ETA: 10s - loss: 4.1386 - acc: 0.0658 - ETA: 10s - loss: 4.1385 - acc: 0.0656 - ETA: 10s - loss: 4.1370 - acc: 0.0659 - ETA: 10s - loss: 4.1378 - acc: 0.0656 - ETA: 10s - loss: 4.1364 - acc: 0.0658 - ETA: 10s - loss: 4.1359 - acc: 0.0657 - ETA: 9s - loss: 4.1352 - acc: 0.0660 - ETA: 9s - loss: 4.1348 - acc: 0.0664 - ETA: 9s - loss: 4.1343 - acc: 0.0669 - ETA: 9s - loss: 4.1343 - acc: 0.0670 - ETA: 9s - loss: 4.1332 - acc: 0.0673 - ETA: 9s - loss: 4.1328 - acc: 0.0672 - ETA: 9s - loss: 4.1330 - acc: 0.0673 - ETA: 8s - loss: 4.1333 - acc: 0.0675 - ETA: 8s - loss: 4.1319 - acc: 0.0678 - ETA: 8s - loss: 4.1322 - acc: 0.0675 - ETA: 8s - loss: 4.1328 - acc: 0.0675 - ETA: 8s - loss: 4.1341 - acc: 0.0674 - ETA: 8s - loss: 4.1327 - acc: 0.0675 - ETA: 8s - loss: 4.1336 - acc: 0.0674 - ETA: 7s - loss: 4.1350 - acc: 0.0676 - ETA: 7s - loss: 4.1344 - acc: 0.0675 - ETA: 7s - loss: 4.1332 - acc: 0.0678 - ETA: 7s - loss: 4.1347 - acc: 0.0677 - ETA: 7s - loss: 4.1340 - acc: 0.0680 - ETA: 7s - loss: 4.1340 - acc: 0.0681 - ETA: 7s - loss: 4.1349 - acc: 0.0681 - ETA: 6s - loss: 4.1347 - acc: 0.0682 - ETA: 6s - loss: 4.1342 - acc: 0.0683 - ETA: 6s - loss: 4.1335 - acc: 0.0681 - ETA: 6s - loss: 4.1342 - acc: 0.0680 - ETA: 6s - loss: 4.1334 - acc: 0.0679 - ETA: 6s - loss: 4.1336 - acc: 0.0680 - ETA: 6s - loss: 4.1338 - acc: 0.0682 - ETA: 5s - loss: 4.1317 - acc: 0.0686 - ETA: 5s - loss: 4.1327 - acc: 0.0684 - ETA: 5s - loss: 4.1307 - acc: 0.0686 - ETA: 5s - loss: 4.1298 - acc: 0.0686 - ETA: 5s - loss: 4.1300 - acc: 0.0685 - ETA: 5s - loss: 4.1312 - acc: 0.0685 - ETA: 5s - loss: 4.1291 - acc: 0.0687 - ETA: 4s - loss: 4.1299 - acc: 0.0687 - ETA: 4s - loss: 4.1288 - acc: 0.0686 - ETA: 4s - loss: 4.1275 - acc: 0.0687 - ETA: 4s - loss: 4.1272 - acc: 0.0688 - ETA: 4s - loss: 4.1273 - acc: 0.0688 - ETA: 4s - loss: 4.1286 - acc: 0.0685 - ETA: 4s - loss: 4.1294 - acc: 0.0685 - ETA: 3s - loss: 4.1285 - acc: 0.0686 - ETA: 3s - loss: 4.1287 - acc: 0.0685 - ETA: 3s - loss: 4.1296 - acc: 0.0684 - ETA: 3s - loss: 4.1295 - acc: 0.0682 - ETA: 3s - loss: 4.1298 - acc: 0.0683 - ETA: 3s - loss: 4.1299 - acc: 0.0689 - ETA: 3s - loss: 4.1293 - acc: 0.0687 - ETA: 2s - loss: 4.1284 - acc: 0.0688 - ETA: 2s - loss: 4.1285 - acc: 0.0689 - ETA: 2s - loss: 4.1285 - acc: 0.0691 - ETA: 2s - loss: 4.1281 - acc: 0.0691 - ETA: 2s - loss: 4.1279 - acc: 0.0693 - ETA: 2s - loss: 4.1276 - acc: 0.0693 - ETA: 2s - loss: 4.1275 - acc: 0.0694 - ETA: 1s - loss: 4.1277 - acc: 0.0692 - ETA: 1s - loss: 4.1271 - acc: 0.0691 - ETA: 1s - loss: 4.1289 - acc: 0.0692 - ETA: 1s - loss: 4.1292 - acc: 0.0690 - ETA: 1s - loss: 4.1292 - acc: 0.0689 - ETA: 1s - loss: 4.1297 - acc: 0.0689 - ETA: 1s - loss: 4.1292 - acc: 0.0688 - ETA: 0s - loss: 4.1289 - acc: 0.0691 - ETA: 0s - loss: 4.1286 - acc: 0.0690 - ETA: 0s - loss: 4.1300 - acc: 0.0694 - ETA: 0s - loss: 4.1308 - acc: 0.0693 - ETA: 0s - loss: 4.1303 - acc: 0.0691 - ETA: 0s - loss: 4.1304 - acc: 0.0689Epoch 00018: val_loss improved from 4.27492 to 4.13950, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.1309 - acc: 0.0690 - val_loss: 4.1395 - val_acc: 0.0826 Epoch 20/40 6660/6680 [============================>.] - ETA: 50s - loss: 3.9264 - acc: 0.0500 - ETA: 47s - loss: 3.7598 - acc: 0.1000 - ETA: 48s - loss: 3.9974 - acc: 0.1000 - ETA: 48s - loss: 3.9573 - acc: 0.1000 - ETA: 47s - loss: 4.0549 - acc: 0.0800 - ETA: 47s - loss: 4.0882 - acc: 0.0750 - ETA: 47s - loss: 4.0635 - acc: 0.0714 - ETA: 47s - loss: 4.0146 - acc: 0.0750 - ETA: 46s - loss: 3.9952 - acc: 0.0722 - ETA: 46s - loss: 3.9509 - acc: 0.0850 - ETA: 46s - loss: 3.9776 - acc: 0.0864 - ETA: 46s - loss: 3.9423 - acc: 0.0958 - ETA: 46s - loss: 3.9368 - acc: 0.1000 - ETA: 46s - loss: 3.9226 - acc: 0.0964 - ETA: 46s - loss: 3.9099 - acc: 0.0967 - ETA: 45s - loss: 3.9179 - acc: 0.0906 - ETA: 45s - loss: 3.9022 - acc: 0.0882 - ETA: 45s - loss: 3.8973 - acc: 0.0972 - ETA: 45s - loss: 3.9053 - acc: 0.1053 - ETA: 45s - loss: 3.8910 - acc: 0.1050 - ETA: 45s - loss: 3.8934 - acc: 0.1024 - ETA: 44s - loss: 3.8939 - acc: 0.1000 - ETA: 44s - loss: 3.8931 - acc: 0.0978 - ETA: 44s - loss: 3.8864 - acc: 0.1000 - ETA: 44s - loss: 3.8967 - acc: 0.1000 - ETA: 44s - loss: 3.8974 - acc: 0.1000 - ETA: 44s - loss: 3.9165 - acc: 0.0963 - ETA: 44s - loss: 3.9233 - acc: 0.0946 - ETA: 43s - loss: 3.9355 - acc: 0.0931 - ETA: 43s - loss: 3.9543 - acc: 0.0933 - ETA: 43s - loss: 3.9617 - acc: 0.0903 - ETA: 43s - loss: 3.9614 - acc: 0.0891 - ETA: 43s - loss: 3.9641 - acc: 0.0879 - ETA: 43s - loss: 3.9576 - acc: 0.0882 - ETA: 42s - loss: 3.9630 - acc: 0.0871 - ETA: 42s - loss: 3.9655 - acc: 0.0861 - ETA: 42s - loss: 3.9717 - acc: 0.0838 - ETA: 42s - loss: 3.9716 - acc: 0.0829 - ETA: 42s - loss: 3.9682 - acc: 0.0833 - ETA: 42s - loss: 3.9644 - acc: 0.0850 - ETA: 41s - loss: 3.9683 - acc: 0.0841 - ETA: 41s - loss: 3.9643 - acc: 0.0821 - ETA: 41s - loss: 3.9716 - acc: 0.0826 - ETA: 41s - loss: 3.9850 - acc: 0.0807 - ETA: 41s - loss: 3.9968 - acc: 0.0789 - ETA: 41s - loss: 3.9962 - acc: 0.0783 - ETA: 41s - loss: 3.9988 - acc: 0.0777 - ETA: 41s - loss: 3.9915 - acc: 0.0771 - ETA: 40s - loss: 3.9940 - acc: 0.0786 - ETA: 40s - loss: 4.0020 - acc: 0.0780 - ETA: 40s - loss: 3.9965 - acc: 0.0794 - ETA: 40s - loss: 4.0065 - acc: 0.0779 - ETA: 40s - loss: 4.0093 - acc: 0.0783 - ETA: 40s - loss: 4.0039 - acc: 0.0796 - ETA: 40s - loss: 4.0023 - acc: 0.0800 - ETA: 39s - loss: 4.0091 - acc: 0.0804 - ETA: 39s - loss: 4.0105 - acc: 0.0798 - ETA: 39s - loss: 4.0098 - acc: 0.0802 - ETA: 39s - loss: 4.0063 - acc: 0.0805 - ETA: 39s - loss: 4.0069 - acc: 0.0800 - ETA: 39s - loss: 4.0078 - acc: 0.0787 - ETA: 39s - loss: 4.0105 - acc: 0.0774 - ETA: 38s - loss: 4.0071 - acc: 0.0778 - ETA: 38s - loss: 4.0006 - acc: 0.0781 - ETA: 38s - loss: 4.0034 - acc: 0.0785 - ETA: 38s - loss: 4.0114 - acc: 0.0773 - ETA: 38s - loss: 4.0123 - acc: 0.0769 - ETA: 38s - loss: 4.0191 - acc: 0.0772 - ETA: 38s - loss: 4.0133 - acc: 0.0790 - ETA: 37s - loss: 4.0149 - acc: 0.0793 - ETA: 37s - loss: 4.0158 - acc: 0.0796 - ETA: 37s - loss: 4.0149 - acc: 0.0792 - ETA: 37s - loss: 4.0194 - acc: 0.0788 - ETA: 37s - loss: 4.0213 - acc: 0.0784 - ETA: 37s - loss: 4.0254 - acc: 0.0780 - ETA: 36s - loss: 4.0246 - acc: 0.0776 - ETA: 36s - loss: 4.0211 - acc: 0.0766 - ETA: 36s - loss: 4.0206 - acc: 0.0763 - ETA: 36s - loss: 4.0231 - acc: 0.0759 - ETA: 36s - loss: 4.0188 - acc: 0.0769 - ETA: 36s - loss: 4.0141 - acc: 0.0772 - ETA: 36s - loss: 4.0125 - acc: 0.0768 - ETA: 35s - loss: 4.0123 - acc: 0.0777 - ETA: 35s - loss: 4.0132 - acc: 0.0774 - ETA: 35s - loss: 4.0135 - acc: 0.0765 - ETA: 35s - loss: 4.0155 - acc: 0.0762 - ETA: 35s - loss: 4.0119 - acc: 0.0776 - ETA: 35s - loss: 4.0100 - acc: 0.0784 - ETA: 35s - loss: 4.0121 - acc: 0.0792 - ETA: 34s - loss: 4.0119 - acc: 0.0794 - ETA: 34s - loss: 4.0105 - acc: 0.0791 - ETA: 34s - loss: 4.0105 - acc: 0.0788 - ETA: 34s - loss: 4.0116 - acc: 0.0785 - ETA: 34s - loss: 4.0222 - acc: 0.0787 - ETA: 34s - loss: 4.0214 - acc: 0.0789 - ETA: 33s - loss: 4.0200 - acc: 0.0792 - ETA: 33s - loss: 4.0207 - acc: 0.0794 - ETA: 33s - loss: 4.0209 - acc: 0.0786 - ETA: 33s - loss: 4.0258 - acc: 0.0778 - ETA: 33s - loss: 4.0268 - acc: 0.0775 - ETA: 33s - loss: 4.0285 - acc: 0.0772 - ETA: 33s - loss: 4.0364 - acc: 0.0765 - ETA: 33s - loss: 4.0345 - acc: 0.0762 - ETA: 32s - loss: 4.0359 - acc: 0.0755 - ETA: 32s - loss: 4.0358 - acc: 0.0757 - ETA: 32s - loss: 4.0369 - acc: 0.0759 - ETA: 32s - loss: 4.0402 - acc: 0.0757 - ETA: 32s - loss: 4.0410 - acc: 0.0755 - ETA: 32s - loss: 4.0422 - acc: 0.0752 - ETA: 32s - loss: 4.0430 - acc: 0.0759 - ETA: 31s - loss: 4.0399 - acc: 0.0752 - ETA: 31s - loss: 4.0410 - acc: 0.0759 - ETA: 31s - loss: 4.0377 - acc: 0.0770 - ETA: 31s - loss: 4.0444 - acc: 0.0763 - ETA: 31s - loss: 4.0437 - acc: 0.0765 - ETA: 31s - loss: 4.0428 - acc: 0.0767 - ETA: 31s - loss: 4.0464 - acc: 0.0765 - ETA: 30s - loss: 4.0475 - acc: 0.0767 - ETA: 30s - loss: 4.0505 - acc: 0.0769 - ETA: 30s - loss: 4.0491 - acc: 0.0767 - ETA: 30s - loss: 4.0461 - acc: 0.0773 - ETA: 30s - loss: 4.0479 - acc: 0.0779 - ETA: 30s - loss: 4.0473 - acc: 0.0780 - ETA: 30s - loss: 4.0479 - acc: 0.0782 - ETA: 29s - loss: 4.0481 - acc: 0.0780 - ETA: 29s - loss: 4.0511 - acc: 0.0774 - ETA: 29s - loss: 4.0494 - acc: 0.0772 - ETA: 29s - loss: 4.0516 - acc: 0.0770 - ETA: 29s - loss: 4.0522 - acc: 0.0771 - ETA: 29s - loss: 4.0512 - acc: 0.0777 - ETA: 29s - loss: 4.0537 - acc: 0.0771 - ETA: 28s - loss: 4.0531 - acc: 0.0769 - ETA: 28s - loss: 4.0511 - acc: 0.0774 - ETA: 28s - loss: 4.0499 - acc: 0.0772 - ETA: 28s - loss: 4.0477 - acc: 0.0770 - ETA: 28s - loss: 4.0471 - acc: 0.0765 - ETA: 28s - loss: 4.0468 - acc: 0.0766 - ETA: 28s - loss: 4.0475 - acc: 0.0764 - ETA: 27s - loss: 4.0461 - acc: 0.0773 - ETA: 27s - loss: 4.0480 - acc: 0.0775 - ETA: 27s - loss: 4.0482 - acc: 0.0773 - ETA: 27s - loss: 4.0491 - acc: 0.0775 - ETA: 27s - loss: 4.0483 - acc: 0.0773 - ETA: 27s - loss: 4.0455 - acc: 0.0771 - ETA: 27s - loss: 4.0450 - acc: 0.0769 - ETA: 26s - loss: 4.0440 - acc: 0.0767 - ETA: 26s - loss: 4.0429 - acc: 0.0776 - ETA: 26s - loss: 4.0416 - acc: 0.0777 - ETA: 26s - loss: 4.0416 - acc: 0.0782 - ETA: 26s - loss: 4.0401 - acc: 0.0787 - ETA: 26s - loss: 4.0425 - acc: 0.0781 - ETA: 26s - loss: 4.0427 - acc: 0.0780 - ETA: 25s - loss: 4.0423 - acc: 0.0784 - ETA: 25s - loss: 4.0435 - acc: 0.0779 - ETA: 25s - loss: 4.0445 - acc: 0.0784 - ETA: 25s - loss: 4.0445 - acc: 0.0779 - ETA: 25s - loss: 4.0467 - acc: 0.0777 - ETA: 25s - loss: 4.0464 - acc: 0.0775 - ETA: 25s - loss: 4.0472 - acc: 0.0774 - ETA: 24s - loss: 4.0465 - acc: 0.0769 - ETA: 24s - loss: 4.0470 - acc: 0.0767 - ETA: 24s - loss: 4.0471 - acc: 0.0765 - ETA: 24s - loss: 4.0496 - acc: 0.0761 - ETA: 24s - loss: 4.0516 - acc: 0.0756 - ETA: 24s - loss: 4.0511 - acc: 0.0752 - ETA: 24s - loss: 4.0499 - acc: 0.0756 - ETA: 23s - loss: 4.0484 - acc: 0.0763 - ETA: 23s - loss: 4.0497 - acc: 0.0768 - ETA: 23s - loss: 4.0510 - acc: 0.0769 - ETA: 23s - loss: 4.0536 - acc: 0.0765 - ETA: 23s - loss: 4.0524 - acc: 0.0769 - ETA: 23s - loss: 4.0514 - acc: 0.0767 - ETA: 23s - loss: 4.0527 - acc: 0.0763 - ETA: 22s - loss: 4.0527 - acc: 0.0764 - ETA: 22s - loss: 4.0519 - acc: 0.0763 - ETA: 22s - loss: 4.0517 - acc: 0.0767 - ETA: 22s - loss: 4.0515 - acc: 0.0766 - ETA: 22s - loss: 4.0520 - acc: 0.0767 - ETA: 22s - loss: 4.0527 - acc: 0.0765 - ETA: 22s - loss: 4.0535 - acc: 0.0764 - ETA: 21s - loss: 4.0538 - acc: 0.0762 - ETA: 21s - loss: 4.0520 - acc: 0.0761 - ETA: 21s - loss: 4.0510 - acc: 0.0757 - ETA: 21s - loss: 4.0534 - acc: 0.0753 - ETA: 21s - loss: 4.0529 - acc: 0.0754 - ETA: 21s - loss: 4.0518 - acc: 0.0750 - ETA: 21s - loss: 4.0536 - acc: 0.0749 - ETA: 20s - loss: 4.0531 - acc: 0.0747 - ETA: 20s - loss: 4.0522 - acc: 0.0746 - ETA: 20s - loss: 4.0540 - acc: 0.0742 - ETA: 20s - loss: 4.0562 - acc: 0.0741 - ETA: 20s - loss: 4.0561 - acc: 0.0740 - ETA: 20s - loss: 4.0567 - acc: 0.0741 - ETA: 20s - loss: 4.0579 - acc: 0.0737 - ETA: 19s - loss: 4.0566 - acc: 0.0738 - ETA: 19s - loss: 4.0560 - acc: 0.0740 - ETA: 19s - loss: 4.0560 - acc: 0.0739 - ETA: 19s - loss: 4.0540 - acc: 0.0745 - ETA: 19s - loss: 4.0560 - acc: 0.0744 - ETA: 19s - loss: 4.0567 - acc: 0.0743 - ETA: 19s - loss: 4.0557 - acc: 0.0746 - ETA: 18s - loss: 4.0543 - acc: 0.0748 - ETA: 18s - loss: 4.0539 - acc: 0.0746 - ETA: 18s - loss: 4.0559 - acc: 0.0745 - ETA: 18s - loss: 4.0548 - acc: 0.0746 - ETA: 18s - loss: 4.0541 - acc: 0.0748 - ETA: 18s - loss: 4.0554 - acc: 0.0746 - ETA: 18s - loss: 4.0558 - acc: 0.0748 - ETA: 17s - loss: 4.0560 - acc: 0.0746 - ETA: 17s - loss: 4.0552 - acc: 0.0748 - ETA: 17s - loss: 4.0529 - acc: 0.0751 - ETA: 17s - loss: 4.0547 - acc: 0.0750 - ETA: 17s - loss: 4.0566 - acc: 0.0746 - ETA: 17s - loss: 4.0537 - acc: 0.0750 - ETA: 17s - loss: 4.0518 - acc: 0.0753 - ETA: 16s - loss: 4.0554 - acc: 0.0755 - ETA: 16s - loss: 4.0522 - acc: 0.0760 - ETA: 16s - loss: 4.0519 - acc: 0.0759 - ETA: 16s - loss: 4.0534 - acc: 0.0760 - ETA: 16s - loss: 4.0559 - acc: 0.0759 - ETA: 16s - loss: 4.0556 - acc: 0.0756 - ETA: 16s - loss: 4.0555 - acc: 0.0755 - ETA: 15s - loss: 4.0541 - acc: 0.0758 - ETA: 15s - loss: 4.0546 - acc: 0.0757 - ETA: 15s - loss: 4.0547 - acc: 0.0756 - ETA: 15s - loss: 4.0565 - acc: 0.0757 - ETA: 15s - loss: 4.0563 - acc: 0.0756 - ETA: 15s - loss: 4.0565 - acc: 0.0752 - ETA: 15s - loss: 4.0561 - acc: 0.0758 - ETA: 14s - loss: 4.0569 - acc: 0.0757 - ETA: 14s - loss: 4.0582 - acc: 0.0758 - ETA: 14s - loss: 4.0573 - acc: 0.0761 - ETA: 14s - loss: 4.0573 - acc: 0.0764 - ETA: 14s - loss: 4.0565 - acc: 0.0765 - ETA: 14s - loss: 4.0569 - acc: 0.0762 - ETA: 14s - loss: 4.0574 - acc: 0.0763 - ETA: 13s - loss: 4.0571 - acc: 0.0762 - ETA: 13s - loss: 4.0565 - acc: 0.0763 - ETA: 13s - loss: 4.0597 - acc: 0.0759 - ETA: 13s - loss: 4.0604 - acc: 0.0758 - ETA: 13s - loss: 4.0611 - acc: 0.0757 - ETA: 13s - loss: 4.0612 - acc: 0.0756 - ETA: 13s - loss: 4.0621 - acc: 0.0755 - ETA: 12s - loss: 4.0608 - acc: 0.0754 - ETA: 12s - loss: 4.0619 - acc: 0.0753 - ETA: 12s - loss: 4.0620 - acc: 0.0752 - ETA: 12s - loss: 4.0595 - acc: 0.0759 - ETA: 12s - loss: 4.0587 - acc: 0.0762 - ETA: 12s - loss: 4.0614 - acc: 0.0763 - ETA: 12s - loss: 4.0615 - acc: 0.0760 - ETA: 11s - loss: 4.0603 - acc: 0.0759 - ETA: 11s - loss: 4.0618 - acc: 0.0756 - ETA: 11s - loss: 4.0632 - acc: 0.0753 - ETA: 11s - loss: 4.0638 - acc: 0.0752 - ETA: 11s - loss: 4.0646 - acc: 0.0753 - ETA: 11s - loss: 4.0633 - acc: 0.0758 - ETA: 11s - loss: 4.0648 - acc: 0.0757 - ETA: 10s - loss: 4.0634 - acc: 0.0758 - ETA: 10s - loss: 4.0632 - acc: 0.0761 - ETA: 10s - loss: 4.0628 - acc: 0.0758 - ETA: 10s - loss: 4.0632 - acc: 0.0757 - ETA: 10s - loss: 4.0618 - acc: 0.0758 - ETA: 10s - loss: 4.0599 - acc: 0.0759 - ETA: 10s - loss: 4.0602 - acc: 0.0758 - ETA: 9s - loss: 4.0588 - acc: 0.0757 - ETA: 9s - loss: 4.0561 - acc: 0.0758 - ETA: 9s - loss: 4.0558 - acc: 0.0757 - ETA: 9s - loss: 4.0577 - acc: 0.0754 - ETA: 9s - loss: 4.0578 - acc: 0.0753 - ETA: 9s - loss: 4.0561 - acc: 0.0754 - ETA: 9s - loss: 4.0550 - acc: 0.0756 - ETA: 8s - loss: 4.0549 - acc: 0.0756 - ETA: 8s - loss: 4.0542 - acc: 0.0760 - ETA: 8s - loss: 4.0546 - acc: 0.0759 - ETA: 8s - loss: 4.0550 - acc: 0.0758 - ETA: 8s - loss: 4.0548 - acc: 0.0759 - ETA: 8s - loss: 4.0536 - acc: 0.0758 - ETA: 8s - loss: 4.0536 - acc: 0.0757 - ETA: 7s - loss: 4.0522 - acc: 0.0758 - ETA: 7s - loss: 4.0520 - acc: 0.0757 - ETA: 7s - loss: 4.0532 - acc: 0.0756 - ETA: 7s - loss: 4.0535 - acc: 0.0757 - ETA: 7s - loss: 4.0541 - acc: 0.0758 - ETA: 7s - loss: 4.0544 - acc: 0.0757 - ETA: 7s - loss: 4.0547 - acc: 0.0756 - ETA: 6s - loss: 4.0550 - acc: 0.0757 - ETA: 6s - loss: 4.0543 - acc: 0.0756 - ETA: 6s - loss: 4.0530 - acc: 0.0755 - ETA: 6s - loss: 4.0537 - acc: 0.0753 - ETA: 6s - loss: 4.0533 - acc: 0.0752 - ETA: 6s - loss: 4.0525 - acc: 0.0754 - ETA: 6s - loss: 4.0509 - acc: 0.0755 - ETA: 5s - loss: 4.0516 - acc: 0.0754 - ETA: 5s - loss: 4.0529 - acc: 0.0753 - ETA: 5s - loss: 4.0526 - acc: 0.0751 - ETA: 5s - loss: 4.0530 - acc: 0.0750 - ETA: 5s - loss: 4.0542 - acc: 0.0747 - ETA: 5s - loss: 4.0529 - acc: 0.0753 - ETA: 5s - loss: 4.0529 - acc: 0.0753 - ETA: 4s - loss: 4.0530 - acc: 0.0752 - ETA: 4s - loss: 4.0546 - acc: 0.0751 - ETA: 4s - loss: 4.0543 - acc: 0.0750 - ETA: 4s - loss: 4.0541 - acc: 0.0751 - ETA: 4s - loss: 4.0528 - acc: 0.0750 - ETA: 4s - loss: 4.0534 - acc: 0.0751 - ETA: 4s - loss: 4.0535 - acc: 0.0750 - ETA: 3s - loss: 4.0536 - acc: 0.0751 - ETA: 3s - loss: 4.0537 - acc: 0.0748 - ETA: 3s - loss: 4.0536 - acc: 0.0748 - ETA: 3s - loss: 4.0522 - acc: 0.0750 - ETA: 3s - loss: 4.0544 - acc: 0.0748 - ETA: 3s - loss: 4.0552 - acc: 0.0745 - ETA: 3s - loss: 4.0552 - acc: 0.0743 - ETA: 2s - loss: 4.0561 - acc: 0.0740 - ETA: 2s - loss: 4.0553 - acc: 0.0743 - ETA: 2s - loss: 4.0549 - acc: 0.0744 - ETA: 2s - loss: 4.0556 - acc: 0.0743 - ETA: 2s - loss: 4.0562 - acc: 0.0741 - ETA: 2s - loss: 4.0563 - acc: 0.0740 - ETA: 2s - loss: 4.0560 - acc: 0.0742 - ETA: 1s - loss: 4.0563 - acc: 0.0743 - ETA: 1s - loss: 4.0553 - acc: 0.0742 - ETA: 1s - loss: 4.0559 - acc: 0.0741 - ETA: 1s - loss: 4.0558 - acc: 0.0742 - ETA: 1s - loss: 4.0557 - acc: 0.0742 - ETA: 1s - loss: 4.0554 - acc: 0.0741 - ETA: 1s - loss: 4.0554 - acc: 0.0743 - ETA: 0s - loss: 4.0553 - acc: 0.0745 - ETA: 0s - loss: 4.0557 - acc: 0.0746 - ETA: 0s - loss: 4.0558 - acc: 0.0744 - ETA: 0s - loss: 4.0571 - acc: 0.0742 - ETA: 0s - loss: 4.0564 - acc: 0.0741 - ETA: 0s - loss: 4.0570 - acc: 0.0742Epoch 00019: val_loss improved from 4.13950 to 4.02815, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.0587 - acc: 0.0741 - val_loss: 4.0282 - val_acc: 0.0874 Epoch 21/40 6660/6680 [============================>.] - ETA: 49s - loss: 3.8934 - acc: 0.1000 - ETA: 47s - loss: 3.8503 - acc: 0.0750 - ETA: 49s - loss: 3.8166 - acc: 0.0667 - ETA: 49s - loss: 3.8828 - acc: 0.0625 - ETA: 48s - loss: 3.8903 - acc: 0.0700 - ETA: 48s - loss: 3.8581 - acc: 0.0833 - ETA: 47s - loss: 3.8695 - acc: 0.0857 - ETA: 47s - loss: 3.9476 - acc: 0.0875 - ETA: 46s - loss: 3.9874 - acc: 0.0833 - ETA: 46s - loss: 3.9605 - acc: 0.0850 - ETA: 46s - loss: 3.9810 - acc: 0.0773 - ETA: 46s - loss: 3.9693 - acc: 0.0792 - ETA: 46s - loss: 3.9755 - acc: 0.0808 - ETA: 45s - loss: 3.9325 - acc: 0.0893 - ETA: 45s - loss: 3.9695 - acc: 0.0833 - ETA: 45s - loss: 4.0163 - acc: 0.0781 - ETA: 45s - loss: 4.0145 - acc: 0.0794 - ETA: 45s - loss: 3.9987 - acc: 0.0861 - ETA: 45s - loss: 4.0187 - acc: 0.0842 - ETA: 44s - loss: 3.9998 - acc: 0.0850 - ETA: 44s - loss: 3.9998 - acc: 0.0810 - ETA: 44s - loss: 4.0022 - acc: 0.0795 - ETA: 44s - loss: 4.0257 - acc: 0.0804 - ETA: 44s - loss: 4.0233 - acc: 0.0833 - ETA: 44s - loss: 4.0249 - acc: 0.0800 - ETA: 44s - loss: 4.0157 - acc: 0.0788 - ETA: 43s - loss: 4.0295 - acc: 0.0796 - ETA: 43s - loss: 4.0278 - acc: 0.0768 - ETA: 43s - loss: 4.0237 - acc: 0.0741 - ETA: 43s - loss: 4.0065 - acc: 0.0750 - ETA: 43s - loss: 4.0010 - acc: 0.0758 - ETA: 43s - loss: 4.0114 - acc: 0.0734 - ETA: 43s - loss: 4.0209 - acc: 0.0712 - ETA: 43s - loss: 4.0166 - acc: 0.0721 - ETA: 42s - loss: 4.0241 - acc: 0.0700 - ETA: 42s - loss: 4.0277 - acc: 0.0694 - ETA: 42s - loss: 4.0242 - acc: 0.0730 - ETA: 42s - loss: 4.0226 - acc: 0.0737 - ETA: 42s - loss: 4.0367 - acc: 0.0718 - ETA: 42s - loss: 4.0309 - acc: 0.0725 - ETA: 42s - loss: 4.0350 - acc: 0.0720 - ETA: 42s - loss: 4.0210 - acc: 0.0786 - ETA: 41s - loss: 4.0181 - acc: 0.0791 - ETA: 41s - loss: 4.0160 - acc: 0.0773 - ETA: 41s - loss: 4.0077 - acc: 0.0778 - ETA: 41s - loss: 4.0086 - acc: 0.0783 - ETA: 41s - loss: 4.0116 - acc: 0.0766 - ETA: 41s - loss: 4.0137 - acc: 0.0781 - ETA: 41s - loss: 4.0117 - acc: 0.0765 - ETA: 40s - loss: 4.0038 - acc: 0.0770 - ETA: 40s - loss: 4.0046 - acc: 0.0765 - ETA: 40s - loss: 4.0077 - acc: 0.0769 - ETA: 40s - loss: 4.0124 - acc: 0.0774 - ETA: 40s - loss: 4.0061 - acc: 0.0787 - ETA: 40s - loss: 4.0007 - acc: 0.0791 - ETA: 40s - loss: 4.0003 - acc: 0.0777 - ETA: 39s - loss: 4.0027 - acc: 0.0789 - ETA: 39s - loss: 4.0039 - acc: 0.0784 - ETA: 39s - loss: 4.0073 - acc: 0.0780 - ETA: 39s - loss: 4.0061 - acc: 0.0767 - ETA: 39s - loss: 4.0058 - acc: 0.0754 - ETA: 39s - loss: 4.0051 - acc: 0.0742 - ETA: 39s - loss: 4.0093 - acc: 0.0738 - ETA: 38s - loss: 4.0099 - acc: 0.0727 - ETA: 38s - loss: 4.0106 - acc: 0.0723 - ETA: 38s - loss: 4.0258 - acc: 0.0712 - ETA: 38s - loss: 4.0221 - acc: 0.0724 - ETA: 38s - loss: 4.0201 - acc: 0.0728 - ETA: 38s - loss: 4.0200 - acc: 0.0739 - ETA: 37s - loss: 4.0162 - acc: 0.0736 - ETA: 37s - loss: 4.0073 - acc: 0.0739 - ETA: 37s - loss: 4.0191 - acc: 0.0729 - ETA: 37s - loss: 4.0223 - acc: 0.0719 - ETA: 37s - loss: 4.0224 - acc: 0.0709 - ETA: 37s - loss: 4.0243 - acc: 0.0707 - ETA: 37s - loss: 4.0232 - acc: 0.0711 - ETA: 36s - loss: 4.0258 - acc: 0.0721 - ETA: 36s - loss: 4.0275 - acc: 0.0718 - ETA: 36s - loss: 4.0272 - acc: 0.0715 - ETA: 36s - loss: 4.0258 - acc: 0.0719 - ETA: 36s - loss: 4.0211 - acc: 0.0722 - ETA: 36s - loss: 4.0177 - acc: 0.0726 - ETA: 36s - loss: 4.0158 - acc: 0.0729 - ETA: 35s - loss: 4.0198 - acc: 0.0732 - ETA: 35s - loss: 4.0150 - acc: 0.0729 - ETA: 35s - loss: 4.0148 - acc: 0.0733 - ETA: 35s - loss: 4.0111 - acc: 0.0747 - ETA: 35s - loss: 4.0119 - acc: 0.0744 - ETA: 35s - loss: 4.0093 - acc: 0.0747 - ETA: 35s - loss: 4.0113 - acc: 0.0750 - ETA: 34s - loss: 4.0077 - acc: 0.0747 - ETA: 34s - loss: 4.0082 - acc: 0.0739 - ETA: 34s - loss: 4.0072 - acc: 0.0747 - ETA: 34s - loss: 4.0051 - acc: 0.0755 - ETA: 34s - loss: 4.0037 - acc: 0.0758 - ETA: 34s - loss: 4.0008 - acc: 0.0766 - ETA: 34s - loss: 4.0002 - acc: 0.0763 - ETA: 33s - loss: 4.0066 - acc: 0.0760 - ETA: 33s - loss: 4.0130 - acc: 0.0758 - ETA: 33s - loss: 4.0154 - acc: 0.0750 - ETA: 33s - loss: 4.0185 - acc: 0.0752 - ETA: 33s - loss: 4.0157 - acc: 0.0755 - ETA: 33s - loss: 4.0177 - acc: 0.0748 - ETA: 33s - loss: 4.0180 - acc: 0.0740 - ETA: 32s - loss: 4.0150 - acc: 0.0757 - ETA: 32s - loss: 4.0179 - acc: 0.0750 - ETA: 32s - loss: 4.0166 - acc: 0.0752 - ETA: 32s - loss: 4.0185 - acc: 0.0750 - ETA: 32s - loss: 4.0158 - acc: 0.0761 - ETA: 32s - loss: 4.0160 - acc: 0.0764 - ETA: 32s - loss: 4.0134 - acc: 0.0766 - ETA: 31s - loss: 4.0136 - acc: 0.0772 - ETA: 31s - loss: 4.0149 - acc: 0.0765 - ETA: 31s - loss: 4.0119 - acc: 0.0772 - ETA: 31s - loss: 4.0092 - acc: 0.0783 - ETA: 31s - loss: 4.0096 - acc: 0.0789 - ETA: 31s - loss: 4.0063 - acc: 0.0786 - ETA: 31s - loss: 4.0055 - acc: 0.0784 - ETA: 30s - loss: 4.0075 - acc: 0.0786 - ETA: 30s - loss: 4.0055 - acc: 0.0783 - ETA: 30s - loss: 4.0089 - acc: 0.0777 - ETA: 30s - loss: 4.0044 - acc: 0.0779 - ETA: 30s - loss: 4.0054 - acc: 0.0785 - ETA: 30s - loss: 4.0075 - acc: 0.0786 - ETA: 30s - loss: 4.0083 - acc: 0.0788 - ETA: 29s - loss: 4.0073 - acc: 0.0786 - ETA: 29s - loss: 4.0043 - acc: 0.0791 - ETA: 29s - loss: 4.0052 - acc: 0.0789 - ETA: 29s - loss: 4.0068 - acc: 0.0787 - ETA: 29s - loss: 4.0076 - acc: 0.0785 - ETA: 29s - loss: 4.0071 - acc: 0.0786 - ETA: 29s - loss: 4.0091 - acc: 0.0788 - ETA: 28s - loss: 4.0080 - acc: 0.0789 - ETA: 28s - loss: 4.0067 - acc: 0.0791 - ETA: 28s - loss: 4.0117 - acc: 0.0789 - ETA: 28s - loss: 4.0189 - acc: 0.0790 - ETA: 28s - loss: 4.0191 - acc: 0.0785 - ETA: 28s - loss: 4.0180 - acc: 0.0793 - ETA: 28s - loss: 4.0158 - acc: 0.0795 - ETA: 27s - loss: 4.0133 - acc: 0.0800 - ETA: 27s - loss: 4.0109 - acc: 0.0805 - ETA: 27s - loss: 4.0097 - acc: 0.0803 - ETA: 27s - loss: 4.0094 - acc: 0.0808 - ETA: 27s - loss: 4.0077 - acc: 0.0813 - ETA: 27s - loss: 4.0057 - acc: 0.0810 - ETA: 27s - loss: 4.0070 - acc: 0.0808 - ETA: 26s - loss: 4.0075 - acc: 0.0803 - ETA: 26s - loss: 4.0080 - acc: 0.0807 - ETA: 26s - loss: 4.0088 - acc: 0.0812 - ETA: 26s - loss: 4.0083 - acc: 0.0813 - ETA: 26s - loss: 4.0106 - acc: 0.0818 - ETA: 26s - loss: 4.0111 - acc: 0.0813 - ETA: 26s - loss: 4.0243 - acc: 0.0810 - ETA: 25s - loss: 4.0240 - acc: 0.0812 - ETA: 25s - loss: 4.0243 - acc: 0.0813 - ETA: 25s - loss: 4.0205 - acc: 0.0814 - ETA: 25s - loss: 4.0209 - acc: 0.0812 - ETA: 25s - loss: 4.0200 - acc: 0.0810 - ETA: 25s - loss: 4.0170 - acc: 0.0811 - ETA: 25s - loss: 4.0171 - acc: 0.0809 - ETA: 24s - loss: 4.0178 - acc: 0.0807 - ETA: 24s - loss: 4.0206 - acc: 0.0806 - ETA: 24s - loss: 4.0229 - acc: 0.0801 - ETA: 24s - loss: 4.0227 - acc: 0.0796 - ETA: 24s - loss: 4.0240 - acc: 0.0797 - ETA: 24s - loss: 4.0210 - acc: 0.0795 - ETA: 24s - loss: 4.0195 - acc: 0.0799 - ETA: 23s - loss: 4.0194 - acc: 0.0798 - ETA: 23s - loss: 4.0169 - acc: 0.0799 - ETA: 23s - loss: 4.0140 - acc: 0.0800 - ETA: 23s - loss: 4.0129 - acc: 0.0798 - ETA: 23s - loss: 4.0145 - acc: 0.0794 - ETA: 23s - loss: 4.0152 - acc: 0.0795 - ETA: 23s - loss: 4.0131 - acc: 0.0802 - ETA: 22s - loss: 4.0149 - acc: 0.0803 - ETA: 22s - loss: 4.0172 - acc: 0.0804 - ETA: 22s - loss: 4.0199 - acc: 0.0802 - ETA: 22s - loss: 4.0192 - acc: 0.0798 - ETA: 22s - loss: 4.0192 - acc: 0.0802 - ETA: 22s - loss: 4.0198 - acc: 0.0803 - ETA: 22s - loss: 4.0177 - acc: 0.0807 - ETA: 21s - loss: 4.0199 - acc: 0.0805 - ETA: 21s - loss: 4.0182 - acc: 0.0809 - ETA: 21s - loss: 4.0178 - acc: 0.0813 - ETA: 21s - loss: 4.0190 - acc: 0.0819 - ETA: 21s - loss: 4.0169 - acc: 0.0820 - ETA: 21s - loss: 4.0148 - acc: 0.0832 - ETA: 21s - loss: 4.0147 - acc: 0.0835 - ETA: 20s - loss: 4.0152 - acc: 0.0839 - ETA: 20s - loss: 4.0135 - acc: 0.0839 - ETA: 20s - loss: 4.0149 - acc: 0.0843 - ETA: 20s - loss: 4.0153 - acc: 0.0844 - ETA: 20s - loss: 4.0159 - acc: 0.0842 - ETA: 20s - loss: 4.0150 - acc: 0.0845 - ETA: 19s - loss: 4.0152 - acc: 0.0844 - ETA: 19s - loss: 4.0153 - acc: 0.0849 - ETA: 19s - loss: 4.0150 - acc: 0.0845 - ETA: 19s - loss: 4.0142 - acc: 0.0854 - ETA: 19s - loss: 4.0116 - acc: 0.0857 - ETA: 19s - loss: 4.0107 - acc: 0.0860 - ETA: 19s - loss: 4.0085 - acc: 0.0858 - ETA: 18s - loss: 4.0096 - acc: 0.0859 - ETA: 18s - loss: 4.0088 - acc: 0.0857 - ETA: 18s - loss: 4.0068 - acc: 0.0858 - ETA: 18s - loss: 4.0043 - acc: 0.0861 - ETA: 18s - loss: 4.0090 - acc: 0.0862 - ETA: 18s - loss: 4.0090 - acc: 0.0860 - ETA: 18s - loss: 4.0078 - acc: 0.0861 - ETA: 17s - loss: 4.0071 - acc: 0.0861 - ETA: 17s - loss: 4.0051 - acc: 0.0860 - ETA: 17s - loss: 4.0048 - acc: 0.0858 - ETA: 17s - loss: 4.0031 - acc: 0.0858 - ETA: 17s - loss: 4.0034 - acc: 0.0857 - ETA: 17s - loss: 4.0030 - acc: 0.0857 - ETA: 17s - loss: 4.0039 - acc: 0.0858 - ETA: 16s - loss: 4.0048 - acc: 0.0856 - ETA: 16s - loss: 4.0063 - acc: 0.0853 - ETA: 16s - loss: 4.0059 - acc: 0.0853 - ETA: 16s - loss: 4.0041 - acc: 0.0852 - ETA: 16s - loss: 4.0035 - acc: 0.0850 - ETA: 16s - loss: 4.0019 - acc: 0.0851 - ETA: 16s - loss: 4.0014 - acc: 0.0849 - ETA: 15s - loss: 4.0020 - acc: 0.0845 - ETA: 15s - loss: 4.0020 - acc: 0.0844 - ETA: 15s - loss: 4.0012 - acc: 0.0840 - ETA: 15s - loss: 4.0036 - acc: 0.0836 - ETA: 15s - loss: 4.0025 - acc: 0.0837 - ETA: 15s - loss: 4.0016 - acc: 0.0836 - ETA: 15s - loss: 4.0003 - acc: 0.0838 - ETA: 14s - loss: 3.9977 - acc: 0.0843 - ETA: 14s - loss: 3.9981 - acc: 0.0842 - ETA: 14s - loss: 3.9984 - acc: 0.0843 - ETA: 14s - loss: 3.9984 - acc: 0.0845 - ETA: 14s - loss: 3.9984 - acc: 0.0842 - ETA: 14s - loss: 3.9989 - acc: 0.0843 - ETA: 14s - loss: 3.9990 - acc: 0.0843 - ETA: 13s - loss: 3.9992 - acc: 0.0844 - ETA: 13s - loss: 3.9983 - acc: 0.0851 - ETA: 13s - loss: 4.0006 - acc: 0.0847 - ETA: 13s - loss: 4.0022 - acc: 0.0848 - ETA: 13s - loss: 4.0020 - acc: 0.0844 - ETA: 13s - loss: 4.0008 - acc: 0.0847 - ETA: 13s - loss: 4.0008 - acc: 0.0846 - ETA: 12s - loss: 4.0007 - acc: 0.0842 - ETA: 12s - loss: 4.0016 - acc: 0.0843 - ETA: 12s - loss: 4.0013 - acc: 0.0841 - ETA: 12s - loss: 4.0011 - acc: 0.0844 - ETA: 12s - loss: 4.0006 - acc: 0.0843 - ETA: 12s - loss: 4.0035 - acc: 0.0839 - ETA: 12s - loss: 4.0042 - acc: 0.0840 - ETA: 11s - loss: 4.0032 - acc: 0.0841 - ETA: 11s - loss: 4.0041 - acc: 0.0841 - ETA: 11s - loss: 4.0040 - acc: 0.0842 - ETA: 11s - loss: 4.0033 - acc: 0.0843 - ETA: 11s - loss: 4.0038 - acc: 0.0841 - ETA: 11s - loss: 4.0042 - acc: 0.0842 - ETA: 11s - loss: 4.0045 - acc: 0.0840 - ETA: 10s - loss: 4.0046 - acc: 0.0843 - ETA: 10s - loss: 4.0065 - acc: 0.0844 - ETA: 10s - loss: 4.0068 - acc: 0.0846 - ETA: 10s - loss: 4.0070 - acc: 0.0845 - ETA: 10s - loss: 4.0106 - acc: 0.0842 - ETA: 10s - loss: 4.0115 - acc: 0.0840 - ETA: 10s - loss: 4.0113 - acc: 0.0841 - ETA: 9s - loss: 4.0111 - acc: 0.0842 - ETA: 9s - loss: 4.0101 - acc: 0.0844 - ETA: 9s - loss: 4.0100 - acc: 0.0843 - ETA: 9s - loss: 4.0088 - acc: 0.0847 - ETA: 9s - loss: 4.0081 - acc: 0.0846 - ETA: 9s - loss: 4.0082 - acc: 0.0846 - ETA: 9s - loss: 4.0088 - acc: 0.0843 - ETA: 8s - loss: 4.0089 - acc: 0.0842 - ETA: 8s - loss: 4.0099 - acc: 0.0841 - ETA: 8s - loss: 4.0103 - acc: 0.0839 - ETA: 8s - loss: 4.0095 - acc: 0.0838 - ETA: 8s - loss: 4.0099 - acc: 0.0841 - ETA: 8s - loss: 4.0103 - acc: 0.0839 - ETA: 8s - loss: 4.0097 - acc: 0.0838 - ETA: 7s - loss: 4.0117 - acc: 0.0835 - ETA: 7s - loss: 4.0133 - acc: 0.0832 - ETA: 7s - loss: 4.0144 - acc: 0.0833 - ETA: 7s - loss: 4.0147 - acc: 0.0832 - ETA: 7s - loss: 4.0141 - acc: 0.0834 - ETA: 7s - loss: 4.0124 - acc: 0.0838 - ETA: 7s - loss: 4.0149 - acc: 0.0837 - ETA: 6s - loss: 4.0148 - acc: 0.0841 - ETA: 6s - loss: 4.0146 - acc: 0.0843 - ETA: 6s - loss: 4.0133 - acc: 0.0842 - ETA: 6s - loss: 4.0118 - acc: 0.0844 - ETA: 6s - loss: 4.0128 - acc: 0.0841 - ETA: 6s - loss: 4.0146 - acc: 0.0838 - ETA: 6s - loss: 4.0144 - acc: 0.0836 - ETA: 5s - loss: 4.0138 - acc: 0.0833 - ETA: 5s - loss: 4.0130 - acc: 0.0835 - ETA: 5s - loss: 4.0131 - acc: 0.0837 - ETA: 5s - loss: 4.0121 - acc: 0.0836 - ETA: 5s - loss: 4.0110 - acc: 0.0837 - ETA: 5s - loss: 4.0119 - acc: 0.0836 - ETA: 5s - loss: 4.0113 - acc: 0.0834 - ETA: 4s - loss: 4.0128 - acc: 0.0833 - ETA: 4s - loss: 4.0133 - acc: 0.0834 - ETA: 4s - loss: 4.0137 - acc: 0.0836 - ETA: 4s - loss: 4.0151 - acc: 0.0837 - ETA: 4s - loss: 4.0158 - acc: 0.0836 - ETA: 4s - loss: 4.0166 - acc: 0.0834 - ETA: 4s - loss: 4.0160 - acc: 0.0835 - ETA: 3s - loss: 4.0145 - acc: 0.0839 - ETA: 3s - loss: 4.0153 - acc: 0.0836 - ETA: 3s - loss: 4.0167 - acc: 0.0837 - ETA: 3s - loss: 4.0170 - acc: 0.0835 - ETA: 3s - loss: 4.0164 - acc: 0.0836 - ETA: 3s - loss: 4.0169 - acc: 0.0833 - ETA: 3s - loss: 4.0177 - acc: 0.0831 - ETA: 2s - loss: 4.0178 - acc: 0.0830 - ETA: 2s - loss: 4.0180 - acc: 0.0830 - ETA: 2s - loss: 4.0177 - acc: 0.0829 - ETA: 2s - loss: 4.0177 - acc: 0.0831 - ETA: 2s - loss: 4.0183 - acc: 0.0830 - ETA: 2s - loss: 4.0178 - acc: 0.0831 - ETA: 2s - loss: 4.0167 - acc: 0.0831 - ETA: 1s - loss: 4.0169 - acc: 0.0832 - ETA: 1s - loss: 4.0182 - acc: 0.0832 - ETA: 1s - loss: 4.0187 - acc: 0.0834 - ETA: 1s - loss: 4.0187 - acc: 0.0833 - ETA: 1s - loss: 4.0186 - acc: 0.0834 - ETA: 1s - loss: 4.0184 - acc: 0.0831 - ETA: 1s - loss: 4.0171 - acc: 0.0833 - ETA: 0s - loss: 4.0172 - acc: 0.0831 - ETA: 0s - loss: 4.0158 - acc: 0.0831 - ETA: 0s - loss: 4.0160 - acc: 0.0830 - ETA: 0s - loss: 4.0156 - acc: 0.0829 - ETA: 0s - loss: 4.0150 - acc: 0.0828 - ETA: 0s - loss: 4.0148 - acc: 0.0827Epoch 00020: val_loss improved from 4.02815 to 4.02282, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 4.0145 - acc: 0.0829 - val_loss: 4.0228 - val_acc: 0.0826 Epoch 22/40 6660/6680 [============================>.] - ETA: 49s - loss: 3.9032 - acc: 0.0500 - ETA: 47s - loss: 3.8056 - acc: 0.1250 - ETA: 47s - loss: 3.7875 - acc: 0.1000 - ETA: 47s - loss: 3.9133 - acc: 0.1000 - ETA: 47s - loss: 3.8843 - acc: 0.0800 - ETA: 47s - loss: 3.8541 - acc: 0.0833 - ETA: 47s - loss: 3.8479 - acc: 0.0857 - ETA: 46s - loss: 3.8709 - acc: 0.0750 - ETA: 47s - loss: 3.8159 - acc: 0.0778 - ETA: 47s - loss: 3.7946 - acc: 0.0700 - ETA: 47s - loss: 3.8395 - acc: 0.0682 - ETA: 46s - loss: 3.8419 - acc: 0.0708 - ETA: 46s - loss: 3.8892 - acc: 0.0692 - ETA: 46s - loss: 3.8792 - acc: 0.0714 - ETA: 46s - loss: 3.8712 - acc: 0.0733 - ETA: 46s - loss: 3.8658 - acc: 0.0781 - ETA: 45s - loss: 3.8655 - acc: 0.0794 - ETA: 45s - loss: 3.8649 - acc: 0.0833 - ETA: 45s - loss: 3.8431 - acc: 0.0789 - ETA: 45s - loss: 3.8689 - acc: 0.0800 - ETA: 45s - loss: 3.8918 - acc: 0.0786 - ETA: 45s - loss: 3.8957 - acc: 0.0864 - ETA: 44s - loss: 3.9073 - acc: 0.0870 - ETA: 44s - loss: 3.8998 - acc: 0.0833 - ETA: 44s - loss: 3.9009 - acc: 0.0820 - ETA: 44s - loss: 3.8853 - acc: 0.0827 - ETA: 44s - loss: 3.8719 - acc: 0.0833 - ETA: 43s - loss: 3.8857 - acc: 0.0839 - ETA: 43s - loss: 3.8822 - acc: 0.0828 - ETA: 43s - loss: 3.9021 - acc: 0.0800 - ETA: 43s - loss: 3.9074 - acc: 0.0774 - ETA: 43s - loss: 3.9044 - acc: 0.0750 - ETA: 43s - loss: 3.9054 - acc: 0.0773 - ETA: 42s - loss: 3.9202 - acc: 0.0765 - ETA: 42s - loss: 3.9271 - acc: 0.0743 - ETA: 42s - loss: 3.9287 - acc: 0.0750 - ETA: 42s - loss: 3.9223 - acc: 0.0743 - ETA: 42s - loss: 3.9394 - acc: 0.0737 - ETA: 42s - loss: 3.9345 - acc: 0.0744 - ETA: 42s - loss: 3.9526 - acc: 0.0738 - ETA: 41s - loss: 3.9560 - acc: 0.0720 - ETA: 41s - loss: 3.9505 - acc: 0.0738 - ETA: 41s - loss: 3.9436 - acc: 0.0733 - ETA: 41s - loss: 3.9525 - acc: 0.0739 - ETA: 41s - loss: 3.9552 - acc: 0.0722 - ETA: 41s - loss: 3.9573 - acc: 0.0717 - ETA: 40s - loss: 3.9560 - acc: 0.0745 - ETA: 40s - loss: 3.9552 - acc: 0.0750 - ETA: 40s - loss: 3.9471 - acc: 0.0745 - ETA: 40s - loss: 3.9506 - acc: 0.0750 - ETA: 40s - loss: 3.9487 - acc: 0.0765 - ETA: 40s - loss: 3.9500 - acc: 0.0760 - ETA: 40s - loss: 3.9524 - acc: 0.0755 - ETA: 39s - loss: 3.9483 - acc: 0.0769 - ETA: 39s - loss: 3.9401 - acc: 0.0764 - ETA: 39s - loss: 3.9357 - acc: 0.0768 - ETA: 39s - loss: 3.9480 - acc: 0.0754 - ETA: 39s - loss: 3.9433 - acc: 0.0759 - ETA: 39s - loss: 3.9544 - acc: 0.0746 - ETA: 39s - loss: 3.9590 - acc: 0.0742 - ETA: 39s - loss: 3.9675 - acc: 0.0738 - ETA: 38s - loss: 3.9619 - acc: 0.0766 - ETA: 38s - loss: 3.9552 - acc: 0.0762 - ETA: 38s - loss: 3.9677 - acc: 0.0750 - ETA: 38s - loss: 3.9649 - acc: 0.0754 - ETA: 38s - loss: 3.9631 - acc: 0.0758 - ETA: 38s - loss: 3.9622 - acc: 0.0761 - ETA: 38s - loss: 3.9634 - acc: 0.0757 - ETA: 37s - loss: 3.9561 - acc: 0.0775 - ETA: 37s - loss: 3.9498 - acc: 0.0786 - ETA: 37s - loss: 3.9479 - acc: 0.0775 - ETA: 37s - loss: 3.9486 - acc: 0.0771 - ETA: 37s - loss: 3.9518 - acc: 0.0774 - ETA: 37s - loss: 3.9536 - acc: 0.0770 - ETA: 37s - loss: 3.9530 - acc: 0.0773 - ETA: 36s - loss: 3.9495 - acc: 0.0796 - ETA: 36s - loss: 3.9504 - acc: 0.0786 - ETA: 36s - loss: 3.9484 - acc: 0.0782 - ETA: 36s - loss: 3.9525 - acc: 0.0785 - ETA: 36s - loss: 3.9534 - acc: 0.0781 - ETA: 36s - loss: 3.9514 - acc: 0.0790 - ETA: 36s - loss: 3.9529 - acc: 0.0780 - ETA: 35s - loss: 3.9610 - acc: 0.0771 - ETA: 35s - loss: 3.9600 - acc: 0.0768 - ETA: 35s - loss: 3.9603 - acc: 0.0771 - ETA: 35s - loss: 3.9621 - acc: 0.0779 - ETA: 35s - loss: 3.9675 - acc: 0.0782 - ETA: 35s - loss: 3.9676 - acc: 0.0801 - ETA: 35s - loss: 3.9632 - acc: 0.0798 - ETA: 34s - loss: 3.9637 - acc: 0.0800 - ETA: 34s - loss: 3.9652 - acc: 0.0797 - ETA: 34s - loss: 3.9664 - acc: 0.0793 - ETA: 34s - loss: 3.9651 - acc: 0.0790 - ETA: 34s - loss: 3.9654 - acc: 0.0793 - ETA: 34s - loss: 3.9706 - acc: 0.0789 - ETA: 34s - loss: 3.9784 - acc: 0.0781 - ETA: 33s - loss: 3.9818 - acc: 0.0784 - ETA: 33s - loss: 3.9787 - acc: 0.0801 - ETA: 33s - loss: 3.9768 - acc: 0.0803 - ETA: 33s - loss: 3.9754 - acc: 0.0800 - ETA: 33s - loss: 3.9794 - acc: 0.0802 - ETA: 33s - loss: 3.9822 - acc: 0.0794 - ETA: 33s - loss: 3.9800 - acc: 0.0816 - ETA: 32s - loss: 3.9752 - acc: 0.0822 - ETA: 32s - loss: 3.9730 - acc: 0.0824 - ETA: 32s - loss: 3.9677 - acc: 0.0825 - ETA: 32s - loss: 3.9699 - acc: 0.0832 - ETA: 32s - loss: 3.9674 - acc: 0.0829 - ETA: 32s - loss: 3.9647 - acc: 0.0835 - ETA: 32s - loss: 3.9671 - acc: 0.0827 - ETA: 31s - loss: 3.9670 - acc: 0.0824 - ETA: 31s - loss: 3.9680 - acc: 0.0826 - ETA: 31s - loss: 3.9701 - acc: 0.0836 - ETA: 31s - loss: 3.9688 - acc: 0.0829 - ETA: 31s - loss: 3.9653 - acc: 0.0839 - ETA: 31s - loss: 3.9609 - acc: 0.0849 - ETA: 31s - loss: 3.9653 - acc: 0.0842 - ETA: 30s - loss: 3.9665 - acc: 0.0835 - ETA: 30s - loss: 3.9614 - acc: 0.0836 - ETA: 30s - loss: 3.9593 - acc: 0.0838 - ETA: 30s - loss: 3.9632 - acc: 0.0835 - ETA: 30s - loss: 3.9625 - acc: 0.0836 - ETA: 30s - loss: 3.9654 - acc: 0.0833 - ETA: 30s - loss: 3.9641 - acc: 0.0831 - ETA: 29s - loss: 3.9653 - acc: 0.0824 - ETA: 29s - loss: 3.9637 - acc: 0.0825 - ETA: 29s - loss: 3.9643 - acc: 0.0831 - ETA: 29s - loss: 3.9699 - acc: 0.0824 - ETA: 29s - loss: 3.9671 - acc: 0.0829 - ETA: 29s - loss: 3.9652 - acc: 0.0827 - ETA: 29s - loss: 3.9650 - acc: 0.0821 - ETA: 28s - loss: 3.9649 - acc: 0.0822 - ETA: 28s - loss: 3.9644 - acc: 0.0820 - ETA: 28s - loss: 3.9690 - acc: 0.0821 - ETA: 28s - loss: 3.9699 - acc: 0.0819 - ETA: 28s - loss: 3.9688 - acc: 0.0820 - ETA: 28s - loss: 3.9690 - acc: 0.0818 - ETA: 28s - loss: 3.9662 - acc: 0.0830 - ETA: 27s - loss: 3.9666 - acc: 0.0824 - ETA: 27s - loss: 3.9654 - acc: 0.0836 - ETA: 27s - loss: 3.9652 - acc: 0.0837 - ETA: 27s - loss: 3.9617 - acc: 0.0835 - ETA: 27s - loss: 3.9622 - acc: 0.0836 - ETA: 27s - loss: 3.9614 - acc: 0.0833 - ETA: 27s - loss: 3.9662 - acc: 0.0834 - ETA: 26s - loss: 3.9697 - acc: 0.0832 - ETA: 26s - loss: 3.9708 - acc: 0.0830 - ETA: 26s - loss: 3.9708 - acc: 0.0828 - ETA: 26s - loss: 3.9701 - acc: 0.0836 - ETA: 26s - loss: 3.9669 - acc: 0.0833 - ETA: 26s - loss: 3.9685 - acc: 0.0831 - ETA: 26s - loss: 3.9714 - acc: 0.0829 - ETA: 25s - loss: 3.9707 - acc: 0.0830 - ETA: 25s - loss: 3.9686 - acc: 0.0834 - ETA: 25s - loss: 3.9744 - acc: 0.0835 - ETA: 25s - loss: 3.9760 - acc: 0.0833 - ETA: 25s - loss: 3.9755 - acc: 0.0834 - ETA: 25s - loss: 3.9787 - acc: 0.0842 - ETA: 25s - loss: 3.9770 - acc: 0.0849 - ETA: 24s - loss: 3.9766 - acc: 0.0847 - ETA: 24s - loss: 3.9772 - acc: 0.0845 - ETA: 24s - loss: 3.9725 - acc: 0.0849 - ETA: 24s - loss: 3.9743 - acc: 0.0847 - ETA: 24s - loss: 3.9736 - acc: 0.0841 - ETA: 24s - loss: 3.9738 - acc: 0.0839 - ETA: 24s - loss: 3.9732 - acc: 0.0843 - ETA: 23s - loss: 3.9722 - acc: 0.0841 - ETA: 23s - loss: 3.9729 - acc: 0.0839 - ETA: 23s - loss: 3.9700 - acc: 0.0846 - ETA: 23s - loss: 3.9683 - acc: 0.0841 - ETA: 23s - loss: 3.9686 - acc: 0.0836 - ETA: 23s - loss: 3.9713 - acc: 0.0831 - ETA: 23s - loss: 3.9700 - acc: 0.0838 - ETA: 22s - loss: 3.9699 - acc: 0.0836 - ETA: 22s - loss: 3.9708 - acc: 0.0840 - ETA: 22s - loss: 3.9713 - acc: 0.0838 - ETA: 22s - loss: 3.9701 - acc: 0.0842 - ETA: 22s - loss: 3.9722 - acc: 0.0837 - ETA: 22s - loss: 3.9723 - acc: 0.0835 - ETA: 22s - loss: 3.9758 - acc: 0.0831 - ETA: 21s - loss: 3.9755 - acc: 0.0840 - ETA: 21s - loss: 3.9733 - acc: 0.0843 - ETA: 21s - loss: 3.9719 - acc: 0.0842 - ETA: 21s - loss: 3.9710 - acc: 0.0840 - ETA: 21s - loss: 3.9709 - acc: 0.0843 - ETA: 21s - loss: 3.9714 - acc: 0.0847 - ETA: 21s - loss: 3.9726 - acc: 0.0845 - ETA: 20s - loss: 3.9701 - acc: 0.0843 - ETA: 20s - loss: 3.9691 - acc: 0.0847 - ETA: 20s - loss: 3.9676 - acc: 0.0845 - ETA: 20s - loss: 3.9679 - acc: 0.0846 - ETA: 20s - loss: 3.9691 - acc: 0.0841 - ETA: 20s - loss: 3.9697 - acc: 0.0845 - ETA: 20s - loss: 3.9691 - acc: 0.0845 - ETA: 19s - loss: 3.9691 - acc: 0.0846 - ETA: 19s - loss: 3.9705 - acc: 0.0844 - ETA: 19s - loss: 3.9696 - acc: 0.0843 - ETA: 19s - loss: 3.9700 - acc: 0.0838 - ETA: 19s - loss: 3.9691 - acc: 0.0839 - ETA: 19s - loss: 3.9681 - acc: 0.0840 - ETA: 19s - loss: 3.9690 - acc: 0.0838 - ETA: 18s - loss: 3.9680 - acc: 0.0839 - ETA: 18s - loss: 3.9683 - acc: 0.0842 - ETA: 18s - loss: 3.9674 - acc: 0.0846 - ETA: 18s - loss: 3.9676 - acc: 0.0846 - ETA: 18s - loss: 3.9708 - acc: 0.0842 - ETA: 18s - loss: 3.9691 - acc: 0.0848 - ETA: 18s - loss: 3.9686 - acc: 0.0851 - ETA: 17s - loss: 3.9706 - acc: 0.0852 - ETA: 17s - loss: 3.9730 - acc: 0.0848 - ETA: 17s - loss: 3.9723 - acc: 0.0853 - ETA: 17s - loss: 3.9705 - acc: 0.0854 - ETA: 17s - loss: 3.9709 - acc: 0.0850 - ETA: 17s - loss: 3.9717 - acc: 0.0853 - ETA: 17s - loss: 3.9726 - acc: 0.0853 - ETA: 16s - loss: 3.9707 - acc: 0.0861 - ETA: 16s - loss: 3.9701 - acc: 0.0857 - ETA: 16s - loss: 3.9685 - acc: 0.0856 - ETA: 16s - loss: 3.9681 - acc: 0.0854 - ETA: 16s - loss: 3.9665 - acc: 0.0857 - ETA: 16s - loss: 3.9681 - acc: 0.0853 - ETA: 16s - loss: 3.9684 - acc: 0.0849 - ETA: 15s - loss: 3.9703 - acc: 0.0848 - ETA: 15s - loss: 3.9706 - acc: 0.0848 - ETA: 15s - loss: 3.9706 - acc: 0.0849 - ETA: 15s - loss: 3.9705 - acc: 0.0847 - ETA: 15s - loss: 3.9690 - acc: 0.0848 - ETA: 15s - loss: 3.9676 - acc: 0.0849 - ETA: 15s - loss: 3.9658 - acc: 0.0852 - ETA: 14s - loss: 3.9695 - acc: 0.0850 - ETA: 14s - loss: 3.9700 - acc: 0.0846 - ETA: 14s - loss: 3.9705 - acc: 0.0847 - ETA: 14s - loss: 3.9702 - acc: 0.0850 - ETA: 14s - loss: 3.9707 - acc: 0.0850 - ETA: 14s - loss: 3.9702 - acc: 0.0855 - ETA: 14s - loss: 3.9690 - acc: 0.0854 - ETA: 13s - loss: 3.9682 - acc: 0.0852 - ETA: 13s - loss: 3.9663 - acc: 0.0859 - ETA: 13s - loss: 3.9666 - acc: 0.0860 - ETA: 13s - loss: 3.9670 - acc: 0.0863 - ETA: 13s - loss: 3.9700 - acc: 0.0861 - ETA: 13s - loss: 3.9698 - acc: 0.0857 - ETA: 13s - loss: 3.9699 - acc: 0.0856 - ETA: 12s - loss: 3.9707 - acc: 0.0855 - ETA: 12s - loss: 3.9706 - acc: 0.0857 - ETA: 12s - loss: 3.9694 - acc: 0.0856 - ETA: 12s - loss: 3.9691 - acc: 0.0854 - ETA: 12s - loss: 3.9688 - acc: 0.0853 - ETA: 12s - loss: 3.9674 - acc: 0.0851 - ETA: 12s - loss: 3.9653 - acc: 0.0854 - ETA: 11s - loss: 3.9652 - acc: 0.0857 - ETA: 11s - loss: 3.9639 - acc: 0.0853 - ETA: 11s - loss: 3.9631 - acc: 0.0858 - ETA: 11s - loss: 3.9639 - acc: 0.0856 - ETA: 11s - loss: 3.9635 - acc: 0.0853 - ETA: 11s - loss: 3.9627 - acc: 0.0850 - ETA: 11s - loss: 3.9625 - acc: 0.0850 - ETA: 10s - loss: 3.9636 - acc: 0.0853 - ETA: 10s - loss: 3.9628 - acc: 0.0853 - ETA: 10s - loss: 3.9624 - acc: 0.0854 - ETA: 10s - loss: 3.9629 - acc: 0.0851 - ETA: 10s - loss: 3.9631 - acc: 0.0849 - ETA: 10s - loss: 3.9635 - acc: 0.0846 - ETA: 10s - loss: 3.9613 - acc: 0.0847 - ETA: 9s - loss: 3.9611 - acc: 0.0847 - ETA: 9s - loss: 3.9613 - acc: 0.0846 - ETA: 9s - loss: 3.9606 - acc: 0.0846 - ETA: 9s - loss: 3.9586 - acc: 0.0853 - ETA: 9s - loss: 3.9583 - acc: 0.0851 - ETA: 9s - loss: 3.9587 - acc: 0.0852 - ETA: 9s - loss: 3.9603 - acc: 0.0852 - ETA: 8s - loss: 3.9616 - acc: 0.0851 - ETA: 8s - loss: 3.9603 - acc: 0.0850 - ETA: 8s - loss: 3.9598 - acc: 0.0849 - ETA: 8s - loss: 3.9594 - acc: 0.0845 - ETA: 8s - loss: 3.9583 - acc: 0.0850 - ETA: 8s - loss: 3.9562 - acc: 0.0850 - ETA: 8s - loss: 3.9586 - acc: 0.0847 - ETA: 7s - loss: 3.9586 - acc: 0.0846 - ETA: 7s - loss: 3.9590 - acc: 0.0848 - ETA: 7s - loss: 3.9582 - acc: 0.0847 - ETA: 7s - loss: 3.9586 - acc: 0.0844 - ETA: 7s - loss: 3.9580 - acc: 0.0841 - ETA: 7s - loss: 3.9588 - acc: 0.0838 - ETA: 7s - loss: 3.9583 - acc: 0.0839 - ETA: 6s - loss: 3.9590 - acc: 0.0841 - ETA: 6s - loss: 3.9618 - acc: 0.0838 - ETA: 6s - loss: 3.9613 - acc: 0.0839 - ETA: 6s - loss: 3.9618 - acc: 0.0836 - ETA: 6s - loss: 3.9609 - acc: 0.0838 - ETA: 6s - loss: 3.9612 - acc: 0.0838 - ETA: 6s - loss: 3.9599 - acc: 0.0837 - ETA: 5s - loss: 3.9586 - acc: 0.0838 - ETA: 5s - loss: 3.9561 - acc: 0.0838 - ETA: 5s - loss: 3.9548 - acc: 0.0847 - ETA: 5s - loss: 3.9538 - acc: 0.0850 - ETA: 5s - loss: 3.9530 - acc: 0.0852 - ETA: 5s - loss: 3.9521 - acc: 0.0854 - ETA: 5s - loss: 3.9518 - acc: 0.0851 - ETA: 4s - loss: 3.9520 - acc: 0.0850 - ETA: 4s - loss: 3.9515 - acc: 0.0849 - ETA: 4s - loss: 3.9528 - acc: 0.0849 - ETA: 4s - loss: 3.9531 - acc: 0.0851 - ETA: 4s - loss: 3.9530 - acc: 0.0852 - ETA: 4s - loss: 3.9520 - acc: 0.0854 - ETA: 4s - loss: 3.9509 - acc: 0.0853 - ETA: 3s - loss: 3.9509 - acc: 0.0852 - ETA: 3s - loss: 3.9515 - acc: 0.0851 - ETA: 3s - loss: 3.9524 - acc: 0.0853 - ETA: 3s - loss: 3.9526 - acc: 0.0856 - ETA: 3s - loss: 3.9518 - acc: 0.0857 - ETA: 3s - loss: 3.9504 - acc: 0.0857 - ETA: 3s - loss: 3.9506 - acc: 0.0858 - ETA: 2s - loss: 3.9504 - acc: 0.0861 - ETA: 2s - loss: 3.9501 - acc: 0.0863 - ETA: 2s - loss: 3.9505 - acc: 0.0862 - ETA: 2s - loss: 3.9505 - acc: 0.0861 - ETA: 2s - loss: 3.9492 - acc: 0.0862 - ETA: 2s - loss: 3.9488 - acc: 0.0865 - ETA: 2s - loss: 3.9497 - acc: 0.0864 - ETA: 1s - loss: 3.9491 - acc: 0.0861 - ETA: 1s - loss: 3.9489 - acc: 0.0863 - ETA: 1s - loss: 3.9477 - acc: 0.0870 - ETA: 1s - loss: 3.9466 - acc: 0.0872 - ETA: 1s - loss: 3.9460 - acc: 0.0872 - ETA: 1s - loss: 3.9472 - acc: 0.0870 - ETA: 1s - loss: 3.9477 - acc: 0.0869 - ETA: 0s - loss: 3.9487 - acc: 0.0867 - ETA: 0s - loss: 3.9486 - acc: 0.0869 - ETA: 0s - loss: 3.9475 - acc: 0.0870 - ETA: 0s - loss: 3.9461 - acc: 0.0873 - ETA: 0s - loss: 3.9457 - acc: 0.0870 - ETA: 0s - loss: 3.9449 - acc: 0.0871Epoch 00021: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.9454 - acc: 0.0871 - val_loss: 4.0675 - val_acc: 0.0838 Epoch 23/40 6660/6680 [============================>.] - ETA: 47s - loss: 3.2465 - acc: 0.1500 - ETA: 46s - loss: 3.5713 - acc: 0.1000 - ETA: 46s - loss: 3.6740 - acc: 0.1000 - ETA: 46s - loss: 3.7140 - acc: 0.1000 - ETA: 46s - loss: 3.6552 - acc: 0.0900 - ETA: 46s - loss: 3.7407 - acc: 0.0833 - ETA: 46s - loss: 3.7222 - acc: 0.0857 - ETA: 46s - loss: 3.7235 - acc: 0.0750 - ETA: 46s - loss: 3.7492 - acc: 0.0722 - ETA: 46s - loss: 3.7851 - acc: 0.0650 - ETA: 45s - loss: 3.8558 - acc: 0.0591 - ETA: 45s - loss: 3.8664 - acc: 0.0625 - ETA: 45s - loss: 3.8467 - acc: 0.0692 - ETA: 45s - loss: 3.8293 - acc: 0.0679 - ETA: 45s - loss: 3.8402 - acc: 0.0733 - ETA: 45s - loss: 3.8499 - acc: 0.0781 - ETA: 44s - loss: 3.8679 - acc: 0.0824 - ETA: 44s - loss: 3.8650 - acc: 0.0833 - ETA: 44s - loss: 3.8677 - acc: 0.0789 - ETA: 44s - loss: 3.8404 - acc: 0.0850 - ETA: 44s - loss: 3.8208 - acc: 0.0881 - ETA: 44s - loss: 3.8146 - acc: 0.0841 - ETA: 44s - loss: 3.8280 - acc: 0.0804 - ETA: 43s - loss: 3.8530 - acc: 0.0771 - ETA: 43s - loss: 3.8681 - acc: 0.0780 - ETA: 43s - loss: 3.8599 - acc: 0.0788 - ETA: 43s - loss: 3.8765 - acc: 0.0778 - ETA: 43s - loss: 3.8817 - acc: 0.0750 - ETA: 43s - loss: 3.8683 - acc: 0.0810 - ETA: 43s - loss: 3.8719 - acc: 0.0833 - ETA: 43s - loss: 3.8611 - acc: 0.0823 - ETA: 42s - loss: 3.8756 - acc: 0.0813 - ETA: 42s - loss: 3.8924 - acc: 0.0788 - ETA: 42s - loss: 3.8807 - acc: 0.0779 - ETA: 42s - loss: 3.8862 - acc: 0.0786 - ETA: 42s - loss: 3.8765 - acc: 0.0792 - ETA: 42s - loss: 3.8790 - acc: 0.0811 - ETA: 42s - loss: 3.8741 - acc: 0.0829 - ETA: 42s - loss: 3.8841 - acc: 0.0821 - ETA: 41s - loss: 3.8847 - acc: 0.0813 - ETA: 41s - loss: 3.8882 - acc: 0.0793 - ETA: 41s - loss: 3.8922 - acc: 0.0786 - ETA: 41s - loss: 3.9001 - acc: 0.0779 - ETA: 41s - loss: 3.9067 - acc: 0.0773 - ETA: 41s - loss: 3.9028 - acc: 0.0789 - ETA: 41s - loss: 3.8890 - acc: 0.0783 - ETA: 40s - loss: 3.8986 - acc: 0.0798 - ETA: 40s - loss: 3.8981 - acc: 0.0813 - ETA: 40s - loss: 3.9046 - acc: 0.0806 - ETA: 40s - loss: 3.9053 - acc: 0.0810 - ETA: 40s - loss: 3.8999 - acc: 0.0833 - ETA: 40s - loss: 3.8998 - acc: 0.0827 - ETA: 40s - loss: 3.9012 - acc: 0.0830 - ETA: 39s - loss: 3.8933 - acc: 0.0824 - ETA: 39s - loss: 3.8927 - acc: 0.0809 - ETA: 39s - loss: 3.8976 - acc: 0.0813 - ETA: 39s - loss: 3.8966 - acc: 0.0833 - ETA: 39s - loss: 3.8928 - acc: 0.0836 - ETA: 39s - loss: 3.8904 - acc: 0.0831 - ETA: 39s - loss: 3.8884 - acc: 0.0842 - ETA: 38s - loss: 3.8921 - acc: 0.0836 - ETA: 38s - loss: 3.8985 - acc: 0.0831 - ETA: 38s - loss: 3.9031 - acc: 0.0817 - ETA: 38s - loss: 3.9004 - acc: 0.0820 - ETA: 38s - loss: 3.9027 - acc: 0.0808 - ETA: 38s - loss: 3.9060 - acc: 0.0803 - ETA: 38s - loss: 3.9026 - acc: 0.0806 - ETA: 38s - loss: 3.9011 - acc: 0.0831 - ETA: 37s - loss: 3.9048 - acc: 0.0819 - ETA: 37s - loss: 3.9056 - acc: 0.0814 - ETA: 37s - loss: 3.9021 - acc: 0.0817 - ETA: 37s - loss: 3.8982 - acc: 0.0819 - ETA: 37s - loss: 3.8994 - acc: 0.0815 - ETA: 37s - loss: 3.8943 - acc: 0.0818 - ETA: 37s - loss: 3.9003 - acc: 0.0813 - ETA: 36s - loss: 3.8993 - acc: 0.0809 - ETA: 36s - loss: 3.9037 - acc: 0.0812 - ETA: 36s - loss: 3.8995 - acc: 0.0827 - ETA: 36s - loss: 3.9035 - acc: 0.0829 - ETA: 36s - loss: 3.9116 - acc: 0.0819 - ETA: 36s - loss: 3.9119 - acc: 0.0815 - ETA: 36s - loss: 3.9132 - acc: 0.0805 - ETA: 35s - loss: 3.9152 - acc: 0.0807 - ETA: 35s - loss: 3.9198 - acc: 0.0804 - ETA: 35s - loss: 3.9208 - acc: 0.0800 - ETA: 35s - loss: 3.9200 - acc: 0.0808 - ETA: 35s - loss: 3.9199 - acc: 0.0805 - ETA: 35s - loss: 3.9190 - acc: 0.0813 - ETA: 35s - loss: 3.9192 - acc: 0.0809 - ETA: 34s - loss: 3.9204 - acc: 0.0811 - ETA: 34s - loss: 3.9329 - acc: 0.0802 - ETA: 34s - loss: 3.9255 - acc: 0.0804 - ETA: 34s - loss: 3.9289 - acc: 0.0806 - ETA: 34s - loss: 3.9274 - acc: 0.0814 - ETA: 34s - loss: 3.9241 - acc: 0.0837 - ETA: 34s - loss: 3.9290 - acc: 0.0833 - ETA: 33s - loss: 3.9296 - acc: 0.0825 - ETA: 33s - loss: 3.9292 - acc: 0.0821 - ETA: 33s - loss: 3.9211 - acc: 0.0828 - ETA: 33s - loss: 3.9247 - acc: 0.0825 - ETA: 33s - loss: 3.9248 - acc: 0.0832 - ETA: 33s - loss: 3.9213 - acc: 0.0833 - ETA: 33s - loss: 3.9182 - acc: 0.0850 - ETA: 32s - loss: 3.9167 - acc: 0.0861 - ETA: 32s - loss: 3.9182 - acc: 0.0862 - ETA: 32s - loss: 3.9200 - acc: 0.0858 - ETA: 32s - loss: 3.9182 - acc: 0.0860 - ETA: 32s - loss: 3.9183 - acc: 0.0861 - ETA: 32s - loss: 3.9138 - acc: 0.0867 - ETA: 32s - loss: 3.9114 - acc: 0.0868 - ETA: 31s - loss: 3.9079 - acc: 0.0869 - ETA: 31s - loss: 3.9044 - acc: 0.0871 - ETA: 31s - loss: 3.9064 - acc: 0.0876 - ETA: 31s - loss: 3.9046 - acc: 0.0882 - ETA: 31s - loss: 3.9014 - acc: 0.0891 - ETA: 31s - loss: 3.9058 - acc: 0.0892 - ETA: 31s - loss: 3.9055 - acc: 0.0893 - ETA: 30s - loss: 3.9038 - acc: 0.0894 - ETA: 30s - loss: 3.9011 - acc: 0.0903 - ETA: 30s - loss: 3.9010 - acc: 0.0896 - ETA: 30s - loss: 3.9012 - acc: 0.0901 - ETA: 30s - loss: 3.9014 - acc: 0.0893 - ETA: 30s - loss: 3.9058 - acc: 0.0890 - ETA: 30s - loss: 3.9019 - acc: 0.0895 - ETA: 29s - loss: 3.9011 - acc: 0.0896 - ETA: 29s - loss: 3.9009 - acc: 0.0897 - ETA: 29s - loss: 3.8987 - acc: 0.0898 - ETA: 29s - loss: 3.8949 - acc: 0.0895 - ETA: 29s - loss: 3.8966 - acc: 0.0891 - ETA: 29s - loss: 3.8971 - acc: 0.0900 - ETA: 29s - loss: 3.8968 - acc: 0.0901 - ETA: 28s - loss: 3.8990 - acc: 0.0898 - ETA: 28s - loss: 3.9023 - acc: 0.0891 - ETA: 28s - loss: 3.9018 - acc: 0.0884 - ETA: 28s - loss: 3.9008 - acc: 0.0878 - ETA: 28s - loss: 3.8994 - acc: 0.0879 - ETA: 28s - loss: 3.9000 - acc: 0.0887 - ETA: 28s - loss: 3.8996 - acc: 0.0884 - ETA: 27s - loss: 3.9050 - acc: 0.0888 - ETA: 27s - loss: 3.9058 - acc: 0.0893 - ETA: 27s - loss: 3.9080 - acc: 0.0890 - ETA: 27s - loss: 3.9119 - acc: 0.0891 - ETA: 27s - loss: 3.9137 - acc: 0.0888 - ETA: 27s - loss: 3.9116 - acc: 0.0896 - ETA: 27s - loss: 3.9147 - acc: 0.0897 - ETA: 26s - loss: 3.9131 - acc: 0.0901 - ETA: 26s - loss: 3.9114 - acc: 0.0908 - ETA: 26s - loss: 3.9093 - acc: 0.0916 - ETA: 26s - loss: 3.9116 - acc: 0.0913 - ETA: 26s - loss: 3.9116 - acc: 0.0917 - ETA: 26s - loss: 3.9109 - acc: 0.0917 - ETA: 26s - loss: 3.9117 - acc: 0.0914 - ETA: 25s - loss: 3.9158 - acc: 0.0908 - ETA: 25s - loss: 3.9165 - acc: 0.0912 - ETA: 25s - loss: 3.9166 - acc: 0.0913 - ETA: 25s - loss: 3.9173 - acc: 0.0910 - ETA: 25s - loss: 3.9157 - acc: 0.0914 - ETA: 25s - loss: 3.9153 - acc: 0.0918 - ETA: 25s - loss: 3.9155 - acc: 0.0915 - ETA: 24s - loss: 3.9130 - acc: 0.0909 - ETA: 24s - loss: 3.9117 - acc: 0.0907 - ETA: 24s - loss: 3.9139 - acc: 0.0907 - ETA: 24s - loss: 3.9130 - acc: 0.0905 - ETA: 24s - loss: 3.9168 - acc: 0.0902 - ETA: 24s - loss: 3.9203 - acc: 0.0903 - ETA: 24s - loss: 3.9179 - acc: 0.0907 - ETA: 23s - loss: 3.9157 - acc: 0.0910 - ETA: 23s - loss: 3.9180 - acc: 0.0908 - ETA: 23s - loss: 3.9182 - acc: 0.0908 - ETA: 23s - loss: 3.9172 - acc: 0.0912 - ETA: 23s - loss: 3.9164 - acc: 0.0909 - ETA: 23s - loss: 3.9169 - acc: 0.0907 - ETA: 23s - loss: 3.9173 - acc: 0.0908 - ETA: 22s - loss: 3.9168 - acc: 0.0908 - ETA: 22s - loss: 3.9139 - acc: 0.0911 - ETA: 22s - loss: 3.9132 - acc: 0.0912 - ETA: 22s - loss: 3.9131 - acc: 0.0910 - ETA: 22s - loss: 3.9105 - acc: 0.0919 - ETA: 22s - loss: 3.9115 - acc: 0.0916 - ETA: 22s - loss: 3.9089 - acc: 0.0925 - ETA: 21s - loss: 3.9072 - acc: 0.0928 - ETA: 21s - loss: 3.9077 - acc: 0.0929 - ETA: 21s - loss: 3.9097 - acc: 0.0926 - ETA: 21s - loss: 3.9097 - acc: 0.0924 - ETA: 21s - loss: 3.9111 - acc: 0.0924 - ETA: 21s - loss: 3.9134 - acc: 0.0919 - ETA: 21s - loss: 3.9111 - acc: 0.0920 - ETA: 20s - loss: 3.9109 - acc: 0.0920 - ETA: 20s - loss: 3.9132 - acc: 0.0918 - ETA: 20s - loss: 3.9129 - acc: 0.0924 - ETA: 20s - loss: 3.9139 - acc: 0.0919 - ETA: 20s - loss: 3.9111 - acc: 0.0922 - ETA: 20s - loss: 3.9110 - acc: 0.0917 - ETA: 20s - loss: 3.9119 - acc: 0.0915 - ETA: 19s - loss: 3.9133 - acc: 0.0910 - ETA: 19s - loss: 3.9118 - acc: 0.0911 - ETA: 19s - loss: 3.9125 - acc: 0.0906 - ETA: 19s - loss: 3.9130 - acc: 0.0904 - ETA: 19s - loss: 3.9130 - acc: 0.0902 - ETA: 19s - loss: 3.9131 - acc: 0.0903 - ETA: 19s - loss: 3.9129 - acc: 0.0905 - ETA: 18s - loss: 3.9134 - acc: 0.0911 - ETA: 18s - loss: 3.9137 - acc: 0.0919 - ETA: 18s - loss: 3.9142 - acc: 0.0917 - ETA: 18s - loss: 3.9154 - acc: 0.0912 - ETA: 18s - loss: 3.9139 - acc: 0.0915 - ETA: 18s - loss: 3.9144 - acc: 0.0911 - ETA: 18s - loss: 3.9158 - acc: 0.0909 - ETA: 17s - loss: 3.9176 - acc: 0.0911 - ETA: 17s - loss: 3.9169 - acc: 0.0914 - ETA: 17s - loss: 3.9149 - acc: 0.0919 - ETA: 17s - loss: 3.9135 - acc: 0.0925 - ETA: 17s - loss: 3.9132 - acc: 0.0920 - ETA: 17s - loss: 3.9148 - acc: 0.0916 - ETA: 17s - loss: 3.9147 - acc: 0.0921 - ETA: 16s - loss: 3.9148 - acc: 0.0919 - ETA: 16s - loss: 3.9138 - acc: 0.0917 - ETA: 16s - loss: 3.9136 - acc: 0.0917 - ETA: 16s - loss: 3.9127 - acc: 0.0918 - ETA: 16s - loss: 3.9119 - acc: 0.0925 - ETA: 16s - loss: 3.9157 - acc: 0.0923 - ETA: 16s - loss: 3.9171 - acc: 0.0919 - ETA: 15s - loss: 3.9167 - acc: 0.0922 - ETA: 15s - loss: 3.9155 - acc: 0.0926 - ETA: 15s - loss: 3.9170 - acc: 0.0924 - ETA: 15s - loss: 3.9174 - acc: 0.0927 - ETA: 15s - loss: 3.9156 - acc: 0.0930 - ETA: 15s - loss: 3.9153 - acc: 0.0932 - ETA: 15s - loss: 3.9154 - acc: 0.0928 - ETA: 14s - loss: 3.9156 - acc: 0.0926 - ETA: 14s - loss: 3.9176 - acc: 0.0922 - ETA: 14s - loss: 3.9179 - acc: 0.0922 - ETA: 14s - loss: 3.9176 - acc: 0.0921 - ETA: 14s - loss: 3.9182 - acc: 0.0917 - ETA: 14s - loss: 3.9178 - acc: 0.0917 - ETA: 14s - loss: 3.9174 - acc: 0.0915 - ETA: 13s - loss: 3.9175 - acc: 0.0916 - ETA: 13s - loss: 3.9191 - acc: 0.0916 - ETA: 13s - loss: 3.9190 - acc: 0.0914 - ETA: 13s - loss: 3.9196 - acc: 0.0910 - ETA: 13s - loss: 3.9209 - acc: 0.0909 - ETA: 13s - loss: 3.9216 - acc: 0.0913 - ETA: 13s - loss: 3.9229 - acc: 0.0912 - ETA: 12s - loss: 3.9254 - acc: 0.0910 - ETA: 12s - loss: 3.9265 - acc: 0.0908 - ETA: 12s - loss: 3.9268 - acc: 0.0907 - ETA: 12s - loss: 3.9273 - acc: 0.0907 - ETA: 12s - loss: 3.9258 - acc: 0.0909 - ETA: 12s - loss: 3.9246 - acc: 0.0910 - ETA: 12s - loss: 3.9259 - acc: 0.0910 - ETA: 11s - loss: 3.9253 - acc: 0.0908 - ETA: 11s - loss: 3.9227 - acc: 0.0911 - ETA: 11s - loss: 3.9235 - acc: 0.0909 - ETA: 11s - loss: 3.9227 - acc: 0.0907 - ETA: 11s - loss: 3.9222 - acc: 0.0906 - ETA: 11s - loss: 3.9223 - acc: 0.0904 - ETA: 11s - loss: 3.9237 - acc: 0.0905 - ETA: 10s - loss: 3.9220 - acc: 0.0909 - ETA: 10s - loss: 3.9230 - acc: 0.0909 - ETA: 10s - loss: 3.9241 - acc: 0.0910 - ETA: 10s - loss: 3.9242 - acc: 0.0906 - ETA: 10s - loss: 3.9239 - acc: 0.0905 - ETA: 10s - loss: 3.9218 - acc: 0.0907 - ETA: 10s - loss: 3.9217 - acc: 0.0905 - ETA: 9s - loss: 3.9208 - acc: 0.0906 - ETA: 9s - loss: 3.9198 - acc: 0.0904 - ETA: 9s - loss: 3.9202 - acc: 0.0904 - ETA: 9s - loss: 3.9212 - acc: 0.0901 - ETA: 9s - loss: 3.9220 - acc: 0.0903 - ETA: 9s - loss: 3.9226 - acc: 0.0904 - ETA: 9s - loss: 3.9208 - acc: 0.0906 - ETA: 8s - loss: 3.9214 - acc: 0.0904 - ETA: 8s - loss: 3.9235 - acc: 0.0905 - ETA: 8s - loss: 3.9236 - acc: 0.0905 - ETA: 8s - loss: 3.9246 - acc: 0.0909 - ETA: 8s - loss: 3.9241 - acc: 0.0909 - ETA: 8s - loss: 3.9226 - acc: 0.0912 - ETA: 8s - loss: 3.9228 - acc: 0.0910 - ETA: 7s - loss: 3.9220 - acc: 0.0910 - ETA: 7s - loss: 3.9205 - acc: 0.0914 - ETA: 7s - loss: 3.9203 - acc: 0.0915 - ETA: 7s - loss: 3.9189 - acc: 0.0915 - ETA: 7s - loss: 3.9183 - acc: 0.0915 - ETA: 7s - loss: 3.9179 - acc: 0.0917 - ETA: 7s - loss: 3.9167 - acc: 0.0916 - ETA: 6s - loss: 3.9178 - acc: 0.0914 - ETA: 6s - loss: 3.9165 - acc: 0.0911 - ETA: 6s - loss: 3.9166 - acc: 0.0908 - ETA: 6s - loss: 3.9164 - acc: 0.0908 - ETA: 6s - loss: 3.9156 - acc: 0.0907 - ETA: 6s - loss: 3.9153 - acc: 0.0907 - ETA: 6s - loss: 3.9152 - acc: 0.0906 - ETA: 5s - loss: 3.9142 - acc: 0.0908 - ETA: 5s - loss: 3.9114 - acc: 0.0917 - ETA: 5s - loss: 3.9107 - acc: 0.0917 - ETA: 5s - loss: 3.9108 - acc: 0.0919 - ETA: 5s - loss: 3.9116 - acc: 0.0919 - ETA: 5s - loss: 3.9103 - acc: 0.0923 - ETA: 5s - loss: 3.9127 - acc: 0.0921 - ETA: 4s - loss: 3.9124 - acc: 0.0922 - ETA: 4s - loss: 3.9129 - acc: 0.0922 - ETA: 4s - loss: 3.9119 - acc: 0.0922 - ETA: 4s - loss: 3.9119 - acc: 0.0919 - ETA: 4s - loss: 3.9131 - acc: 0.0919 - ETA: 4s - loss: 3.9140 - acc: 0.0918 - ETA: 4s - loss: 3.9134 - acc: 0.0917 - ETA: 3s - loss: 3.9132 - acc: 0.0919 - ETA: 3s - loss: 3.9131 - acc: 0.0916 - ETA: 3s - loss: 3.9121 - acc: 0.0919 - ETA: 3s - loss: 3.9097 - acc: 0.0921 - ETA: 3s - loss: 3.9097 - acc: 0.0921 - ETA: 3s - loss: 3.9097 - acc: 0.0921 - ETA: 3s - loss: 3.9107 - acc: 0.0919 - ETA: 2s - loss: 3.9117 - acc: 0.0917 - ETA: 2s - loss: 3.9109 - acc: 0.0919 - ETA: 2s - loss: 3.9102 - acc: 0.0919 - ETA: 2s - loss: 3.9101 - acc: 0.0920 - ETA: 2s - loss: 3.9105 - acc: 0.0920 - ETA: 2s - loss: 3.9106 - acc: 0.0918 - ETA: 2s - loss: 3.9113 - acc: 0.0920 - ETA: 1s - loss: 3.9117 - acc: 0.0919 - ETA: 1s - loss: 3.9117 - acc: 0.0916 - ETA: 1s - loss: 3.9118 - acc: 0.0915 - ETA: 1s - loss: 3.9118 - acc: 0.0917 - ETA: 1s - loss: 3.9133 - acc: 0.0915 - ETA: 1s - loss: 3.9124 - acc: 0.0917 - ETA: 1s - loss: 3.9129 - acc: 0.0916 - ETA: 0s - loss: 3.9133 - acc: 0.0916 - ETA: 0s - loss: 3.9129 - acc: 0.0915 - ETA: 0s - loss: 3.9121 - acc: 0.0914 - ETA: 0s - loss: 3.9124 - acc: 0.0914 - ETA: 0s - loss: 3.9107 - acc: 0.0920 - ETA: 0s - loss: 3.9102 - acc: 0.0920Epoch 00022: val_loss improved from 4.02282 to 4.01132, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 3.9119 - acc: 0.0919 - val_loss: 4.0113 - val_acc: 0.0838 Epoch 24/40 6660/6680 [============================>.] - ETA: 47s - loss: 3.7458 - acc: 0.1000 - ETA: 47s - loss: 3.8589 - acc: 0.1000 - ETA: 48s - loss: 3.7946 - acc: 0.1000 - ETA: 48s - loss: 3.8085 - acc: 0.1125 - ETA: 47s - loss: 3.8394 - acc: 0.0900 - ETA: 47s - loss: 3.8962 - acc: 0.0833 - ETA: 47s - loss: 3.9476 - acc: 0.0714 - ETA: 47s - loss: 3.9314 - acc: 0.0750 - ETA: 46s - loss: 3.9516 - acc: 0.0667 - ETA: 46s - loss: 3.9323 - acc: 0.0650 - ETA: 46s - loss: 3.8798 - acc: 0.0909 - ETA: 45s - loss: 3.8628 - acc: 0.0917 - ETA: 45s - loss: 3.8707 - acc: 0.0923 - ETA: 45s - loss: 3.8699 - acc: 0.0964 - ETA: 45s - loss: 3.9218 - acc: 0.0933 - ETA: 45s - loss: 3.9285 - acc: 0.0875 - ETA: 45s - loss: 3.9148 - acc: 0.0853 - ETA: 44s - loss: 3.9212 - acc: 0.0889 - ETA: 44s - loss: 3.9071 - acc: 0.0868 - ETA: 44s - loss: 3.8881 - acc: 0.0900 - ETA: 44s - loss: 3.8841 - acc: 0.0905 - ETA: 44s - loss: 3.8889 - acc: 0.0886 - ETA: 44s - loss: 3.9114 - acc: 0.0848 - ETA: 44s - loss: 3.8931 - acc: 0.0854 - ETA: 44s - loss: 3.9023 - acc: 0.0820 - ETA: 44s - loss: 3.9074 - acc: 0.0827 - ETA: 43s - loss: 3.8897 - acc: 0.0833 - ETA: 43s - loss: 3.9038 - acc: 0.0839 - ETA: 43s - loss: 3.9132 - acc: 0.0828 - ETA: 43s - loss: 3.9152 - acc: 0.0800 - ETA: 43s - loss: 3.9134 - acc: 0.0790 - ETA: 43s - loss: 3.9152 - acc: 0.0797 - ETA: 43s - loss: 3.9279 - acc: 0.0788 - ETA: 42s - loss: 3.9294 - acc: 0.0794 - ETA: 42s - loss: 3.9440 - acc: 0.0800 - ETA: 42s - loss: 3.9464 - acc: 0.0792 - ETA: 42s - loss: 3.9347 - acc: 0.0838 - ETA: 42s - loss: 3.9296 - acc: 0.0842 - ETA: 42s - loss: 3.9164 - acc: 0.0872 - ETA: 42s - loss: 3.9083 - acc: 0.0888 - ETA: 42s - loss: 3.9002 - acc: 0.0890 - ETA: 41s - loss: 3.8989 - acc: 0.0881 - ETA: 41s - loss: 3.8914 - acc: 0.0907 - ETA: 41s - loss: 3.8969 - acc: 0.0886 - ETA: 41s - loss: 3.8913 - acc: 0.0889 - ETA: 41s - loss: 3.8873 - acc: 0.0902 - ETA: 41s - loss: 3.8907 - acc: 0.0894 - ETA: 40s - loss: 3.8826 - acc: 0.0896 - ETA: 40s - loss: 3.8880 - acc: 0.0888 - ETA: 40s - loss: 3.8822 - acc: 0.0890 - ETA: 40s - loss: 3.8833 - acc: 0.0873 - ETA: 40s - loss: 3.8865 - acc: 0.0875 - ETA: 40s - loss: 3.8826 - acc: 0.0858 - ETA: 40s - loss: 3.8751 - acc: 0.0880 - ETA: 40s - loss: 3.8783 - acc: 0.0873 - ETA: 40s - loss: 3.8811 - acc: 0.0875 - ETA: 39s - loss: 3.8730 - acc: 0.0895 - ETA: 39s - loss: 3.8752 - acc: 0.0888 - ETA: 39s - loss: 3.8814 - acc: 0.0898 - ETA: 39s - loss: 3.8906 - acc: 0.0908 - ETA: 39s - loss: 3.8918 - acc: 0.0918 - ETA: 39s - loss: 3.8968 - acc: 0.0903 - ETA: 38s - loss: 3.8943 - acc: 0.0897 - ETA: 38s - loss: 3.8926 - acc: 0.0922 - ETA: 38s - loss: 3.8898 - acc: 0.0915 - ETA: 38s - loss: 3.9032 - acc: 0.0902 - ETA: 38s - loss: 3.8998 - acc: 0.0903 - ETA: 38s - loss: 3.9036 - acc: 0.0912 - ETA: 38s - loss: 3.9119 - acc: 0.0906 - ETA: 37s - loss: 3.9159 - acc: 0.0907 - ETA: 37s - loss: 3.9122 - acc: 0.0908 - ETA: 37s - loss: 3.9093 - acc: 0.0910 - ETA: 37s - loss: 3.9082 - acc: 0.0904 - ETA: 37s - loss: 3.9108 - acc: 0.0912 - ETA: 37s - loss: 3.9071 - acc: 0.0920 - ETA: 37s - loss: 3.9025 - acc: 0.0934 - ETA: 37s - loss: 3.9013 - acc: 0.0935 - ETA: 36s - loss: 3.9058 - acc: 0.0929 - ETA: 36s - loss: 3.9050 - acc: 0.0937 - ETA: 36s - loss: 3.9080 - acc: 0.0925 - ETA: 36s - loss: 3.9122 - acc: 0.0914 - ETA: 36s - loss: 3.9123 - acc: 0.0915 - ETA: 36s - loss: 3.9148 - acc: 0.0910 - ETA: 35s - loss: 3.9125 - acc: 0.0917 - ETA: 35s - loss: 3.9088 - acc: 0.0912 - ETA: 35s - loss: 3.9042 - acc: 0.0907 - ETA: 35s - loss: 3.8991 - acc: 0.0914 - ETA: 35s - loss: 3.8955 - acc: 0.0909 - ETA: 35s - loss: 3.8925 - acc: 0.0910 - ETA: 35s - loss: 3.8935 - acc: 0.0911 - ETA: 34s - loss: 3.8940 - acc: 0.0912 - ETA: 34s - loss: 3.8961 - acc: 0.0913 - ETA: 34s - loss: 3.8946 - acc: 0.0903 - ETA: 34s - loss: 3.8952 - acc: 0.0894 - ETA: 34s - loss: 3.8891 - acc: 0.0895 - ETA: 34s - loss: 3.8878 - acc: 0.0891 - ETA: 34s - loss: 3.8896 - acc: 0.0892 - ETA: 33s - loss: 3.8920 - acc: 0.0893 - ETA: 33s - loss: 3.8920 - acc: 0.0894 - ETA: 33s - loss: 3.8923 - acc: 0.0900 - ETA: 33s - loss: 3.8901 - acc: 0.0916 - ETA: 33s - loss: 3.8935 - acc: 0.0912 - ETA: 33s - loss: 3.8938 - acc: 0.0917 - ETA: 33s - loss: 3.8931 - acc: 0.0913 - ETA: 32s - loss: 3.8916 - acc: 0.0914 - ETA: 32s - loss: 3.8891 - acc: 0.0920 - ETA: 32s - loss: 3.8880 - acc: 0.0921 - ETA: 32s - loss: 3.8859 - acc: 0.0921 - ETA: 32s - loss: 3.8867 - acc: 0.0927 - ETA: 32s - loss: 3.8907 - acc: 0.0918 - ETA: 32s - loss: 3.8894 - acc: 0.0928 - ETA: 31s - loss: 3.8887 - acc: 0.0924 - ETA: 31s - loss: 3.8850 - acc: 0.0929 - ETA: 31s - loss: 3.8793 - acc: 0.0943 - ETA: 31s - loss: 3.8795 - acc: 0.0943 - ETA: 31s - loss: 3.8781 - acc: 0.0940 - ETA: 31s - loss: 3.8803 - acc: 0.0940 - ETA: 31s - loss: 3.8807 - acc: 0.0936 - ETA: 30s - loss: 3.8789 - acc: 0.0937 - ETA: 30s - loss: 3.8800 - acc: 0.0946 - ETA: 30s - loss: 3.8764 - acc: 0.0959 - ETA: 30s - loss: 3.8768 - acc: 0.0959 - ETA: 30s - loss: 3.8758 - acc: 0.0963 - ETA: 30s - loss: 3.8759 - acc: 0.0956 - ETA: 30s - loss: 3.8765 - acc: 0.0948 - ETA: 29s - loss: 3.8744 - acc: 0.0948 - ETA: 29s - loss: 3.8743 - acc: 0.0945 - ETA: 29s - loss: 3.8738 - acc: 0.0949 - ETA: 29s - loss: 3.8741 - acc: 0.0950 - ETA: 29s - loss: 3.8712 - acc: 0.0958 - ETA: 29s - loss: 3.8720 - acc: 0.0962 - ETA: 29s - loss: 3.8743 - acc: 0.0958 - ETA: 28s - loss: 3.8753 - acc: 0.0951 - ETA: 28s - loss: 3.8738 - acc: 0.0963 - ETA: 28s - loss: 3.8742 - acc: 0.0963 - ETA: 28s - loss: 3.8752 - acc: 0.0963 - ETA: 28s - loss: 3.8759 - acc: 0.0964 - ETA: 28s - loss: 3.8757 - acc: 0.0960 - ETA: 28s - loss: 3.8751 - acc: 0.0957 - ETA: 27s - loss: 3.8735 - acc: 0.0961 - ETA: 27s - loss: 3.8730 - acc: 0.0965 - ETA: 27s - loss: 3.8688 - acc: 0.0968 - ETA: 27s - loss: 3.8683 - acc: 0.0965 - ETA: 27s - loss: 3.8653 - acc: 0.0972 - ETA: 27s - loss: 3.8672 - acc: 0.0966 - ETA: 27s - loss: 3.8672 - acc: 0.0962 - ETA: 26s - loss: 3.8711 - acc: 0.0963 - ETA: 26s - loss: 3.8704 - acc: 0.0963 - ETA: 26s - loss: 3.8710 - acc: 0.0960 - ETA: 26s - loss: 3.8744 - acc: 0.0963 - ETA: 26s - loss: 3.8700 - acc: 0.0977 - ETA: 26s - loss: 3.8722 - acc: 0.0977 - ETA: 26s - loss: 3.8710 - acc: 0.0971 - ETA: 25s - loss: 3.8689 - acc: 0.0974 - ETA: 25s - loss: 3.8672 - acc: 0.0974 - ETA: 25s - loss: 3.8670 - acc: 0.0981 - ETA: 25s - loss: 3.8701 - acc: 0.0975 - ETA: 25s - loss: 3.8760 - acc: 0.0968 - ETA: 25s - loss: 3.8787 - acc: 0.0962 - ETA: 25s - loss: 3.8782 - acc: 0.0956 - ETA: 24s - loss: 3.8793 - acc: 0.0953 - ETA: 24s - loss: 3.8817 - acc: 0.0954 - ETA: 24s - loss: 3.8821 - acc: 0.0954 - ETA: 24s - loss: 3.8816 - acc: 0.0951 - ETA: 24s - loss: 3.8813 - acc: 0.0952 - ETA: 24s - loss: 3.8815 - acc: 0.0952 - ETA: 24s - loss: 3.8820 - acc: 0.0949 - ETA: 23s - loss: 3.8808 - acc: 0.0946 - ETA: 23s - loss: 3.8792 - acc: 0.0950 - ETA: 23s - loss: 3.8796 - acc: 0.0950 - ETA: 23s - loss: 3.8784 - acc: 0.0953 - ETA: 23s - loss: 3.8768 - acc: 0.0948 - ETA: 23s - loss: 3.8778 - acc: 0.0951 - ETA: 23s - loss: 3.8772 - acc: 0.0957 - ETA: 22s - loss: 3.8777 - acc: 0.0957 - ETA: 22s - loss: 3.8789 - acc: 0.0952 - ETA: 22s - loss: 3.8811 - acc: 0.0949 - ETA: 22s - loss: 3.8800 - acc: 0.0952 - ETA: 22s - loss: 3.8779 - acc: 0.0955 - ETA: 22s - loss: 3.8783 - acc: 0.0956 - ETA: 22s - loss: 3.8773 - acc: 0.0956 - ETA: 21s - loss: 3.8748 - acc: 0.0951 - ETA: 21s - loss: 3.8762 - acc: 0.0948 - ETA: 21s - loss: 3.8766 - acc: 0.0946 - ETA: 21s - loss: 3.8740 - acc: 0.0949 - ETA: 21s - loss: 3.8740 - acc: 0.0954 - ETA: 21s - loss: 3.8708 - acc: 0.0955 - ETA: 21s - loss: 3.8702 - acc: 0.0957 - ETA: 20s - loss: 3.8683 - acc: 0.0963 - ETA: 20s - loss: 3.8675 - acc: 0.0968 - ETA: 20s - loss: 3.8645 - acc: 0.0969 - ETA: 20s - loss: 3.8651 - acc: 0.0966 - ETA: 20s - loss: 3.8662 - acc: 0.0961 - ETA: 20s - loss: 3.8680 - acc: 0.0959 - ETA: 20s - loss: 3.8682 - acc: 0.0964 - ETA: 19s - loss: 3.8670 - acc: 0.0959 - ETA: 19s - loss: 3.8648 - acc: 0.0964 - ETA: 19s - loss: 3.8659 - acc: 0.0962 - ETA: 19s - loss: 3.8670 - acc: 0.0960 - ETA: 19s - loss: 3.8665 - acc: 0.0958 - ETA: 19s - loss: 3.8644 - acc: 0.0968 - ETA: 18s - loss: 3.8657 - acc: 0.0968 - ETA: 18s - loss: 3.8664 - acc: 0.0966 - ETA: 18s - loss: 3.8672 - acc: 0.0961 - ETA: 18s - loss: 3.8696 - acc: 0.0956 - ETA: 18s - loss: 3.8710 - acc: 0.0954 - ETA: 18s - loss: 3.8714 - acc: 0.0954 - ETA: 18s - loss: 3.8693 - acc: 0.0957 - ETA: 17s - loss: 3.8696 - acc: 0.0955 - ETA: 17s - loss: 3.8698 - acc: 0.0952 - ETA: 17s - loss: 3.8695 - acc: 0.0955 - ETA: 17s - loss: 3.8686 - acc: 0.0958 - ETA: 17s - loss: 3.8684 - acc: 0.0955 - ETA: 17s - loss: 3.8676 - acc: 0.0956 - ETA: 17s - loss: 3.8711 - acc: 0.0953 - ETA: 16s - loss: 3.8734 - acc: 0.0949 - ETA: 16s - loss: 3.8738 - acc: 0.0947 - ETA: 16s - loss: 3.8728 - acc: 0.0947 - ETA: 16s - loss: 3.8730 - acc: 0.0947 - ETA: 16s - loss: 3.8731 - acc: 0.0945 - ETA: 16s - loss: 3.8763 - acc: 0.0941 - ETA: 16s - loss: 3.8763 - acc: 0.0941 - ETA: 15s - loss: 3.8770 - acc: 0.0939 - ETA: 15s - loss: 3.8776 - acc: 0.0940 - ETA: 15s - loss: 3.8773 - acc: 0.0944 - ETA: 15s - loss: 3.8750 - acc: 0.0942 - ETA: 15s - loss: 3.8735 - acc: 0.0947 - ETA: 15s - loss: 3.8747 - acc: 0.0950 - ETA: 15s - loss: 3.8722 - acc: 0.0956 - ETA: 14s - loss: 3.8720 - acc: 0.0957 - ETA: 14s - loss: 3.8720 - acc: 0.0959 - ETA: 14s - loss: 3.8717 - acc: 0.0957 - ETA: 14s - loss: 3.8721 - acc: 0.0953 - ETA: 14s - loss: 3.8726 - acc: 0.0953 - ETA: 14s - loss: 3.8731 - acc: 0.0953 - ETA: 14s - loss: 3.8734 - acc: 0.0949 - ETA: 13s - loss: 3.8756 - acc: 0.0945 - ETA: 13s - loss: 3.8771 - acc: 0.0947 - ETA: 13s - loss: 3.8771 - acc: 0.0950 - ETA: 13s - loss: 3.8783 - acc: 0.0950 - ETA: 13s - loss: 3.8784 - acc: 0.0950 - ETA: 13s - loss: 3.8778 - acc: 0.0948 - ETA: 13s - loss: 3.8791 - acc: 0.0947 - ETA: 12s - loss: 3.8786 - acc: 0.0949 - ETA: 12s - loss: 3.8782 - acc: 0.0947 - ETA: 12s - loss: 3.8765 - acc: 0.0953 - ETA: 12s - loss: 3.8762 - acc: 0.0949 - ETA: 12s - loss: 3.8768 - acc: 0.0948 - ETA: 12s - loss: 3.8753 - acc: 0.0950 - ETA: 12s - loss: 3.8752 - acc: 0.0950 - ETA: 11s - loss: 3.8757 - acc: 0.0946 - ETA: 11s - loss: 3.8755 - acc: 0.0948 - ETA: 11s - loss: 3.8741 - acc: 0.0951 - ETA: 11s - loss: 3.8730 - acc: 0.0955 - ETA: 11s - loss: 3.8731 - acc: 0.0955 - ETA: 11s - loss: 3.8724 - acc: 0.0953 - ETA: 11s - loss: 3.8725 - acc: 0.0951 - ETA: 10s - loss: 3.8738 - acc: 0.0950 - ETA: 10s - loss: 3.8734 - acc: 0.0948 - ETA: 10s - loss: 3.8737 - acc: 0.0948 - ETA: 10s - loss: 3.8716 - acc: 0.0948 - ETA: 10s - loss: 3.8704 - acc: 0.0950 - ETA: 10s - loss: 3.8696 - acc: 0.0949 - ETA: 10s - loss: 3.8690 - acc: 0.0951 - ETA: 9s - loss: 3.8689 - acc: 0.0951 - ETA: 9s - loss: 3.8679 - acc: 0.0949 - ETA: 9s - loss: 3.8664 - acc: 0.0951 - ETA: 9s - loss: 3.8666 - acc: 0.0953 - ETA: 9s - loss: 3.8654 - acc: 0.0954 - ETA: 9s - loss: 3.8653 - acc: 0.0952 - ETA: 9s - loss: 3.8658 - acc: 0.0952 - ETA: 8s - loss: 3.8669 - acc: 0.0950 - ETA: 8s - loss: 3.8656 - acc: 0.0956 - ETA: 8s - loss: 3.8656 - acc: 0.0954 - ETA: 8s - loss: 3.8658 - acc: 0.0955 - ETA: 8s - loss: 3.8654 - acc: 0.0953 - ETA: 8s - loss: 3.8641 - acc: 0.0957 - ETA: 8s - loss: 3.8646 - acc: 0.0953 - ETA: 7s - loss: 3.8630 - acc: 0.0955 - ETA: 7s - loss: 3.8642 - acc: 0.0954 - ETA: 7s - loss: 3.8643 - acc: 0.0952 - ETA: 7s - loss: 3.8634 - acc: 0.0950 - ETA: 7s - loss: 3.8633 - acc: 0.0947 - ETA: 7s - loss: 3.8624 - acc: 0.0945 - ETA: 7s - loss: 3.8634 - acc: 0.0944 - ETA: 6s - loss: 3.8627 - acc: 0.0944 - ETA: 6s - loss: 3.8641 - acc: 0.0943 - ETA: 6s - loss: 3.8632 - acc: 0.0943 - ETA: 6s - loss: 3.8635 - acc: 0.0941 - ETA: 6s - loss: 3.8623 - acc: 0.0943 - ETA: 6s - loss: 3.8613 - acc: 0.0943 - ETA: 6s - loss: 3.8603 - acc: 0.0945 - ETA: 5s - loss: 3.8586 - acc: 0.0947 - ETA: 5s - loss: 3.8604 - acc: 0.0947 - ETA: 5s - loss: 3.8592 - acc: 0.0946 - ETA: 5s - loss: 3.8585 - acc: 0.0948 - ETA: 5s - loss: 3.8605 - acc: 0.0944 - ETA: 5s - loss: 3.8594 - acc: 0.0946 - ETA: 5s - loss: 3.8601 - acc: 0.0945 - ETA: 4s - loss: 3.8605 - acc: 0.0943 - ETA: 4s - loss: 3.8598 - acc: 0.0940 - ETA: 4s - loss: 3.8591 - acc: 0.0940 - ETA: 4s - loss: 3.8583 - acc: 0.0941 - ETA: 4s - loss: 3.8567 - acc: 0.0946 - ETA: 4s - loss: 3.8564 - acc: 0.0943 - ETA: 4s - loss: 3.8562 - acc: 0.0943 - ETA: 3s - loss: 3.8546 - acc: 0.0945 - ETA: 3s - loss: 3.8542 - acc: 0.0942 - ETA: 3s - loss: 3.8556 - acc: 0.0940 - ETA: 3s - loss: 3.8559 - acc: 0.0939 - ETA: 3s - loss: 3.8586 - acc: 0.0937 - ETA: 3s - loss: 3.8597 - acc: 0.0938 - ETA: 3s - loss: 3.8604 - acc: 0.0936 - ETA: 2s - loss: 3.8603 - acc: 0.0935 - ETA: 2s - loss: 3.8609 - acc: 0.0938 - ETA: 2s - loss: 3.8600 - acc: 0.0938 - ETA: 2s - loss: 3.8599 - acc: 0.0935 - ETA: 2s - loss: 3.8592 - acc: 0.0936 - ETA: 2s - loss: 3.8577 - acc: 0.0940 - ETA: 2s - loss: 3.8572 - acc: 0.0938 - ETA: 1s - loss: 3.8580 - acc: 0.0938 - ETA: 1s - loss: 3.8577 - acc: 0.0938 - ETA: 1s - loss: 3.8577 - acc: 0.0940 - ETA: 1s - loss: 3.8570 - acc: 0.0941 - ETA: 1s - loss: 3.8563 - acc: 0.0943 - ETA: 1s - loss: 3.8561 - acc: 0.0948 - ETA: 1s - loss: 3.8559 - acc: 0.0946 - ETA: 0s - loss: 3.8562 - acc: 0.0948 - ETA: 0s - loss: 3.8569 - acc: 0.0945 - ETA: 0s - loss: 3.8565 - acc: 0.0948 - ETA: 0s - loss: 3.8562 - acc: 0.0950 - ETA: 0s - loss: 3.8560 - acc: 0.0952 - ETA: 0s - loss: 3.8548 - acc: 0.0953Epoch 00023: val_loss improved from 4.01132 to 3.97793, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 3.8542 - acc: 0.0954 - val_loss: 3.9779 - val_acc: 0.0850 Epoch 25/40 6660/6680 [============================>.] - ETA: 50s - loss: 4.2065 - acc: 0.1000 - ETA: 48s - loss: 4.2259 - acc: 0.0750 - ETA: 49s - loss: 4.2092 - acc: 0.0667 - ETA: 48s - loss: 4.1667 - acc: 0.1000 - ETA: 47s - loss: 4.1791 - acc: 0.0900 - ETA: 47s - loss: 4.0818 - acc: 0.0833 - ETA: 47s - loss: 4.0968 - acc: 0.0786 - ETA: 46s - loss: 4.0365 - acc: 0.0688 - ETA: 46s - loss: 4.0094 - acc: 0.0667 - ETA: 46s - loss: 4.0256 - acc: 0.0750 - ETA: 46s - loss: 4.0191 - acc: 0.0773 - ETA: 45s - loss: 3.9951 - acc: 0.0875 - ETA: 45s - loss: 3.9616 - acc: 0.0923 - ETA: 45s - loss: 3.9283 - acc: 0.1000 - ETA: 45s - loss: 3.9236 - acc: 0.1033 - ETA: 44s - loss: 3.9203 - acc: 0.1031 - ETA: 44s - loss: 3.9510 - acc: 0.0971 - ETA: 44s - loss: 3.9931 - acc: 0.0944 - ETA: 44s - loss: 3.9698 - acc: 0.0947 - ETA: 44s - loss: 3.9525 - acc: 0.0975 - ETA: 44s - loss: 3.9459 - acc: 0.0976 - ETA: 44s - loss: 3.9398 - acc: 0.0932 - ETA: 43s - loss: 3.9472 - acc: 0.0957 - ETA: 43s - loss: 3.9392 - acc: 0.0938 - ETA: 43s - loss: 3.9290 - acc: 0.0920 - ETA: 43s - loss: 3.9138 - acc: 0.0962 - ETA: 43s - loss: 3.9137 - acc: 0.0944 - ETA: 43s - loss: 3.8899 - acc: 0.0964 - ETA: 43s - loss: 3.9031 - acc: 0.1000 - ETA: 43s - loss: 3.9048 - acc: 0.0983 - ETA: 42s - loss: 3.8983 - acc: 0.0984 - ETA: 42s - loss: 3.8889 - acc: 0.0984 - ETA: 42s - loss: 3.8937 - acc: 0.0970 - ETA: 42s - loss: 3.9016 - acc: 0.0971 - ETA: 42s - loss: 3.9143 - acc: 0.0943 - ETA: 42s - loss: 3.9119 - acc: 0.0972 - ETA: 42s - loss: 3.9111 - acc: 0.0973 - ETA: 41s - loss: 3.9061 - acc: 0.0987 - ETA: 41s - loss: 3.9093 - acc: 0.0962 - ETA: 41s - loss: 3.9094 - acc: 0.0950 - ETA: 41s - loss: 3.9112 - acc: 0.0927 - ETA: 41s - loss: 3.9129 - acc: 0.0952 - ETA: 41s - loss: 3.9127 - acc: 0.0965 - ETA: 41s - loss: 3.9081 - acc: 0.0955 - ETA: 41s - loss: 3.8969 - acc: 0.0967 - ETA: 40s - loss: 3.8810 - acc: 0.1011 - ETA: 40s - loss: 3.8797 - acc: 0.1011 - ETA: 40s - loss: 3.8745 - acc: 0.1021 - ETA: 40s - loss: 3.8651 - acc: 0.1020 - ETA: 40s - loss: 3.8733 - acc: 0.1010 - ETA: 40s - loss: 3.8681 - acc: 0.1020 - ETA: 40s - loss: 3.8656 - acc: 0.1029 - ETA: 39s - loss: 3.8648 - acc: 0.1038 - ETA: 39s - loss: 3.8671 - acc: 0.1028 - ETA: 39s - loss: 3.8637 - acc: 0.1027 - ETA: 39s - loss: 3.8661 - acc: 0.1018 - ETA: 39s - loss: 3.8654 - acc: 0.1009 - ETA: 39s - loss: 3.8678 - acc: 0.1009 - ETA: 39s - loss: 3.8675 - acc: 0.1017 - ETA: 38s - loss: 3.8626 - acc: 0.1033 - ETA: 38s - loss: 3.8643 - acc: 0.1016 - ETA: 38s - loss: 3.8715 - acc: 0.1000 - ETA: 38s - loss: 3.8750 - acc: 0.0992 - ETA: 38s - loss: 3.8813 - acc: 0.0984 - ETA: 38s - loss: 3.8802 - acc: 0.0992 - ETA: 38s - loss: 3.8740 - acc: 0.0992 - ETA: 37s - loss: 3.8643 - acc: 0.1015 - ETA: 37s - loss: 3.8580 - acc: 0.1007 - ETA: 37s - loss: 3.8559 - acc: 0.1007 - ETA: 37s - loss: 3.8535 - acc: 0.1014 - ETA: 37s - loss: 3.8487 - acc: 0.1021 - ETA: 37s - loss: 3.8396 - acc: 0.1028 - ETA: 37s - loss: 3.8469 - acc: 0.1021 - ETA: 36s - loss: 3.8424 - acc: 0.1020 - ETA: 36s - loss: 3.8432 - acc: 0.1040 - ETA: 36s - loss: 3.8497 - acc: 0.1039 - ETA: 36s - loss: 3.8490 - acc: 0.1032 - ETA: 36s - loss: 3.8485 - acc: 0.1032 - ETA: 36s - loss: 3.8433 - acc: 0.1025 - ETA: 36s - loss: 3.8398 - acc: 0.1013 - ETA: 35s - loss: 3.8428 - acc: 0.1006 - ETA: 35s - loss: 3.8366 - acc: 0.1012 - ETA: 35s - loss: 3.8349 - acc: 0.1018 - ETA: 35s - loss: 3.8376 - acc: 0.1012 - ETA: 35s - loss: 3.8341 - acc: 0.1012 - ETA: 35s - loss: 3.8353 - acc: 0.1000 - ETA: 35s - loss: 3.8423 - acc: 0.0994 - ETA: 35s - loss: 3.8400 - acc: 0.1000 - ETA: 34s - loss: 3.8382 - acc: 0.1000 - ETA: 34s - loss: 3.8408 - acc: 0.0994 - ETA: 34s - loss: 3.8342 - acc: 0.1016 - ETA: 34s - loss: 3.8344 - acc: 0.1022 - ETA: 34s - loss: 3.8382 - acc: 0.1022 - ETA: 34s - loss: 3.8356 - acc: 0.1027 - ETA: 34s - loss: 3.8380 - acc: 0.1021 - ETA: 33s - loss: 3.8392 - acc: 0.1016 - ETA: 33s - loss: 3.8348 - acc: 0.1036 - ETA: 33s - loss: 3.8353 - acc: 0.1036 - ETA: 33s - loss: 3.8361 - acc: 0.1030 - ETA: 33s - loss: 3.8398 - acc: 0.1035 - ETA: 33s - loss: 3.8387 - acc: 0.1035 - ETA: 32s - loss: 3.8366 - acc: 0.1039 - ETA: 32s - loss: 3.8359 - acc: 0.1039 - ETA: 32s - loss: 3.8350 - acc: 0.1043 - ETA: 32s - loss: 3.8371 - acc: 0.1038 - ETA: 32s - loss: 3.8359 - acc: 0.1042 - ETA: 32s - loss: 3.8395 - acc: 0.1037 - ETA: 32s - loss: 3.8412 - acc: 0.1032 - ETA: 32s - loss: 3.8412 - acc: 0.1028 - ETA: 31s - loss: 3.8385 - acc: 0.1036 - ETA: 31s - loss: 3.8376 - acc: 0.1027 - ETA: 31s - loss: 3.8403 - acc: 0.1018 - ETA: 31s - loss: 3.8380 - acc: 0.1027 - ETA: 31s - loss: 3.8381 - acc: 0.1022 - ETA: 31s - loss: 3.8411 - acc: 0.1017 - ETA: 31s - loss: 3.8435 - acc: 0.1022 - ETA: 30s - loss: 3.8408 - acc: 0.1021 - ETA: 30s - loss: 3.8455 - acc: 0.1021 - ETA: 30s - loss: 3.8444 - acc: 0.1017 - ETA: 30s - loss: 3.8432 - acc: 0.1013 - ETA: 30s - loss: 3.8434 - acc: 0.1008 - ETA: 30s - loss: 3.8442 - acc: 0.1012 - ETA: 30s - loss: 3.8427 - acc: 0.1016 - ETA: 30s - loss: 3.8416 - acc: 0.1020 - ETA: 29s - loss: 3.8436 - acc: 0.1016 - ETA: 29s - loss: 3.8433 - acc: 0.1016 - ETA: 29s - loss: 3.8411 - acc: 0.1012 - ETA: 29s - loss: 3.8427 - acc: 0.1004 - ETA: 29s - loss: 3.8445 - acc: 0.1008 - ETA: 29s - loss: 3.8470 - acc: 0.1000 - ETA: 29s - loss: 3.8500 - acc: 0.0996 - ETA: 28s - loss: 3.8499 - acc: 0.0992 - ETA: 28s - loss: 3.8464 - acc: 0.0996 - ETA: 28s - loss: 3.8446 - acc: 0.0996 - ETA: 28s - loss: 3.8432 - acc: 0.0996 - ETA: 28s - loss: 3.8412 - acc: 0.0996 - ETA: 28s - loss: 3.8424 - acc: 0.0993 - ETA: 28s - loss: 3.8440 - acc: 0.0993 - ETA: 27s - loss: 3.8430 - acc: 0.0993 - ETA: 27s - loss: 3.8406 - acc: 0.1000 - ETA: 27s - loss: 3.8387 - acc: 0.1007 - ETA: 27s - loss: 3.8386 - acc: 0.1004 - ETA: 27s - loss: 3.8332 - acc: 0.1028 - ETA: 27s - loss: 3.8323 - acc: 0.1031 - ETA: 27s - loss: 3.8349 - acc: 0.1024 - ETA: 26s - loss: 3.8435 - acc: 0.1021 - ETA: 26s - loss: 3.8454 - acc: 0.1020 - ETA: 26s - loss: 3.8466 - acc: 0.1017 - ETA: 26s - loss: 3.8472 - acc: 0.1013 - ETA: 26s - loss: 3.8471 - acc: 0.1010 - ETA: 26s - loss: 3.8481 - acc: 0.1017 - ETA: 26s - loss: 3.8482 - acc: 0.1026 - ETA: 25s - loss: 3.8499 - acc: 0.1026 - ETA: 25s - loss: 3.8490 - acc: 0.1026 - ETA: 25s - loss: 3.8491 - acc: 0.1026 - ETA: 25s - loss: 3.8492 - acc: 0.1019 - ETA: 25s - loss: 3.8490 - acc: 0.1025 - ETA: 25s - loss: 3.8458 - acc: 0.1025 - ETA: 25s - loss: 3.8454 - acc: 0.1022 - ETA: 24s - loss: 3.8449 - acc: 0.1025 - ETA: 24s - loss: 3.8435 - acc: 0.1028 - ETA: 24s - loss: 3.8448 - acc: 0.1028 - ETA: 24s - loss: 3.8481 - acc: 0.1025 - ETA: 24s - loss: 3.8491 - acc: 0.1021 - ETA: 24s - loss: 3.8489 - acc: 0.1018 - ETA: 24s - loss: 3.8450 - acc: 0.1027 - ETA: 23s - loss: 3.8452 - acc: 0.1027 - ETA: 23s - loss: 3.8417 - acc: 0.1036 - ETA: 23s - loss: 3.8424 - acc: 0.1036 - ETA: 23s - loss: 3.8392 - acc: 0.1047 - ETA: 23s - loss: 3.8367 - acc: 0.1047 - ETA: 23s - loss: 3.8386 - acc: 0.1047 - ETA: 23s - loss: 3.8389 - acc: 0.1040 - ETA: 22s - loss: 3.8401 - acc: 0.1043 - ETA: 22s - loss: 3.8383 - acc: 0.1049 - ETA: 22s - loss: 3.8381 - acc: 0.1051 - ETA: 22s - loss: 3.8385 - acc: 0.1048 - ETA: 22s - loss: 3.8394 - acc: 0.1045 - ETA: 22s - loss: 3.8399 - acc: 0.1045 - ETA: 22s - loss: 3.8381 - acc: 0.1044 - ETA: 21s - loss: 3.8387 - acc: 0.1047 - ETA: 21s - loss: 3.8375 - acc: 0.1049 - ETA: 21s - loss: 3.8358 - acc: 0.1046 - ETA: 21s - loss: 3.8356 - acc: 0.1049 - ETA: 21s - loss: 3.8352 - acc: 0.1051 - ETA: 21s - loss: 3.8347 - acc: 0.1056 - ETA: 21s - loss: 3.8343 - acc: 0.1056 - ETA: 20s - loss: 3.8355 - acc: 0.1053 - ETA: 20s - loss: 3.8346 - acc: 0.1053 - ETA: 20s - loss: 3.8350 - acc: 0.1047 - ETA: 20s - loss: 3.8335 - acc: 0.1050 - ETA: 20s - loss: 3.8347 - acc: 0.1044 - ETA: 20s - loss: 3.8357 - acc: 0.1041 - ETA: 20s - loss: 3.8354 - acc: 0.1044 - ETA: 19s - loss: 3.8370 - acc: 0.1041 - ETA: 19s - loss: 3.8357 - acc: 0.1038 - ETA: 19s - loss: 3.8373 - acc: 0.1038 - ETA: 19s - loss: 3.8366 - acc: 0.1040 - ETA: 19s - loss: 3.8350 - acc: 0.1043 - ETA: 19s - loss: 3.8342 - acc: 0.1038 - ETA: 19s - loss: 3.8308 - acc: 0.1045 - ETA: 18s - loss: 3.8298 - acc: 0.1047 - ETA: 18s - loss: 3.8328 - acc: 0.1042 - ETA: 18s - loss: 3.8340 - acc: 0.1039 - ETA: 18s - loss: 3.8344 - acc: 0.1039 - ETA: 18s - loss: 3.8336 - acc: 0.1039 - ETA: 18s - loss: 3.8342 - acc: 0.1036 - ETA: 18s - loss: 3.8323 - acc: 0.1038 - ETA: 17s - loss: 3.8357 - acc: 0.1038 - ETA: 17s - loss: 3.8368 - acc: 0.1038 - ETA: 17s - loss: 3.8372 - acc: 0.1036 - ETA: 17s - loss: 3.8365 - acc: 0.1040 - ETA: 17s - loss: 3.8355 - acc: 0.1035 - ETA: 17s - loss: 3.8367 - acc: 0.1035 - ETA: 17s - loss: 3.8367 - acc: 0.1033 - ETA: 16s - loss: 3.8359 - acc: 0.1037 - ETA: 16s - loss: 3.8366 - acc: 0.1037 - ETA: 16s - loss: 3.8334 - acc: 0.1039 - ETA: 16s - loss: 3.8346 - acc: 0.1034 - ETA: 16s - loss: 3.8365 - acc: 0.1032 - ETA: 16s - loss: 3.8365 - acc: 0.1029 - ETA: 16s - loss: 3.8371 - acc: 0.1034 - ETA: 15s - loss: 3.8369 - acc: 0.1031 - ETA: 15s - loss: 3.8373 - acc: 0.1027 - ETA: 15s - loss: 3.8379 - acc: 0.1031 - ETA: 15s - loss: 3.8380 - acc: 0.1029 - ETA: 15s - loss: 3.8375 - acc: 0.1029 - ETA: 15s - loss: 3.8380 - acc: 0.1026 - ETA: 15s - loss: 3.8371 - acc: 0.1022 - ETA: 14s - loss: 3.8361 - acc: 0.1022 - ETA: 14s - loss: 3.8373 - acc: 0.1019 - ETA: 14s - loss: 3.8368 - acc: 0.1019 - ETA: 14s - loss: 3.8337 - acc: 0.1024 - ETA: 14s - loss: 3.8318 - acc: 0.1024 - ETA: 14s - loss: 3.8301 - acc: 0.1028 - ETA: 14s - loss: 3.8313 - acc: 0.1025 - ETA: 13s - loss: 3.8348 - acc: 0.1023 - ETA: 13s - loss: 3.8345 - acc: 0.1023 - ETA: 13s - loss: 3.8330 - acc: 0.1023 - ETA: 13s - loss: 3.8350 - acc: 0.1021 - ETA: 13s - loss: 3.8329 - acc: 0.1025 - ETA: 13s - loss: 3.8321 - acc: 0.1027 - ETA: 13s - loss: 3.8342 - acc: 0.1023 - ETA: 12s - loss: 3.8323 - acc: 0.1023 - ETA: 12s - loss: 3.8323 - acc: 0.1024 - ETA: 12s - loss: 3.8335 - acc: 0.1024 - ETA: 12s - loss: 3.8323 - acc: 0.1030 - ETA: 12s - loss: 3.8317 - acc: 0.1026 - ETA: 12s - loss: 3.8317 - acc: 0.1022 - ETA: 12s - loss: 3.8331 - acc: 0.1020 - ETA: 11s - loss: 3.8346 - acc: 0.1018 - ETA: 11s - loss: 3.8357 - acc: 0.1016 - ETA: 11s - loss: 3.8374 - acc: 0.1012 - ETA: 11s - loss: 3.8385 - acc: 0.1008 - ETA: 11s - loss: 3.8385 - acc: 0.1008 - ETA: 11s - loss: 3.8393 - acc: 0.1004 - ETA: 11s - loss: 3.8387 - acc: 0.1004 - ETA: 10s - loss: 3.8391 - acc: 0.1006 - ETA: 10s - loss: 3.8382 - acc: 0.1010 - ETA: 10s - loss: 3.8383 - acc: 0.1012 - ETA: 10s - loss: 3.8379 - acc: 0.1008 - ETA: 10s - loss: 3.8391 - acc: 0.1008 - ETA: 10s - loss: 3.8388 - acc: 0.1008 - ETA: 10s - loss: 3.8400 - acc: 0.1006 - ETA: 9s - loss: 3.8394 - acc: 0.1002 - ETA: 9s - loss: 3.8398 - acc: 0.1004 - ETA: 9s - loss: 3.8386 - acc: 0.1007 - ETA: 9s - loss: 3.8383 - acc: 0.1007 - ETA: 9s - loss: 3.8366 - acc: 0.1007 - ETA: 9s - loss: 3.8364 - acc: 0.1007 - ETA: 9s - loss: 3.8366 - acc: 0.1013 - ETA: 8s - loss: 3.8359 - acc: 0.1015 - ETA: 8s - loss: 3.8348 - acc: 0.1018 - ETA: 8s - loss: 3.8343 - acc: 0.1016 - ETA: 8s - loss: 3.8322 - acc: 0.1018 - ETA: 8s - loss: 3.8354 - acc: 0.1016 - ETA: 8s - loss: 3.8354 - acc: 0.1018 - ETA: 8s - loss: 3.8354 - acc: 0.1022 - ETA: 7s - loss: 3.8372 - acc: 0.1018 - ETA: 7s - loss: 3.8361 - acc: 0.1021 - ETA: 7s - loss: 3.8355 - acc: 0.1025 - ETA: 7s - loss: 3.8366 - acc: 0.1025 - ETA: 7s - loss: 3.8353 - acc: 0.1025 - ETA: 7s - loss: 3.8352 - acc: 0.1025 - ETA: 7s - loss: 3.8351 - acc: 0.1025 - ETA: 6s - loss: 3.8363 - acc: 0.1023 - ETA: 6s - loss: 3.8387 - acc: 0.1021 - ETA: 6s - loss: 3.8396 - acc: 0.1017 - ETA: 6s - loss: 3.8387 - acc: 0.1021 - ETA: 6s - loss: 3.8400 - acc: 0.1021 - ETA: 6s - loss: 3.8401 - acc: 0.1024 - ETA: 6s - loss: 3.8410 - acc: 0.1026 - ETA: 5s - loss: 3.8405 - acc: 0.1027 - ETA: 5s - loss: 3.8395 - acc: 0.1027 - ETA: 5s - loss: 3.8404 - acc: 0.1025 - ETA: 5s - loss: 3.8383 - acc: 0.1027 - ETA: 5s - loss: 3.8379 - acc: 0.1029 - ETA: 5s - loss: 3.8390 - acc: 0.1025 - ETA: 5s - loss: 3.8377 - acc: 0.1028 - ETA: 4s - loss: 3.8363 - acc: 0.1030 - ETA: 4s - loss: 3.8354 - acc: 0.1030 - ETA: 4s - loss: 3.8370 - acc: 0.1028 - ETA: 4s - loss: 3.8378 - acc: 0.1026 - ETA: 4s - loss: 3.8389 - acc: 0.1028 - ETA: 4s - loss: 3.8405 - acc: 0.1028 - ETA: 4s - loss: 3.8403 - acc: 0.1031 - ETA: 3s - loss: 3.8392 - acc: 0.1031 - ETA: 3s - loss: 3.8388 - acc: 0.1034 - ETA: 3s - loss: 3.8382 - acc: 0.1034 - ETA: 3s - loss: 3.8382 - acc: 0.1031 - ETA: 3s - loss: 3.8388 - acc: 0.1027 - ETA: 3s - loss: 3.8408 - acc: 0.1026 - ETA: 3s - loss: 3.8410 - acc: 0.1027 - ETA: 2s - loss: 3.8408 - acc: 0.1027 - ETA: 2s - loss: 3.8408 - acc: 0.1025 - ETA: 2s - loss: 3.8415 - acc: 0.1025 - ETA: 2s - loss: 3.8413 - acc: 0.1028 - ETA: 2s - loss: 3.8397 - acc: 0.1030 - ETA: 2s - loss: 3.8394 - acc: 0.1030 - ETA: 2s - loss: 3.8398 - acc: 0.1028 - ETA: 1s - loss: 3.8402 - acc: 0.1028 - ETA: 1s - loss: 3.8395 - acc: 0.1030 - ETA: 1s - loss: 3.8397 - acc: 0.1028 - ETA: 1s - loss: 3.8400 - acc: 0.1028 - ETA: 1s - loss: 3.8397 - acc: 0.1031 - ETA: 1s - loss: 3.8379 - acc: 0.1029 - ETA: 1s - loss: 3.8371 - acc: 0.1029 - ETA: 0s - loss: 3.8355 - acc: 0.1030 - ETA: 0s - loss: 3.8360 - acc: 0.1030 - ETA: 0s - loss: 3.8356 - acc: 0.1033 - ETA: 0s - loss: 3.8340 - acc: 0.1036 - ETA: 0s - loss: 3.8332 - acc: 0.1036 - ETA: 0s - loss: 3.8325 - acc: 0.1036Epoch 00024: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.8323 - acc: 0.1036 - val_loss: 3.9926 - val_acc: 0.0958 Epoch 26/40 6660/6680 [============================>.] - ETA: 49s - loss: 3.3972 - acc: 0.0500 - ETA: 44s - loss: 3.4482 - acc: 0.1250 - ETA: 45s - loss: 3.7018 - acc: 0.1167 - ETA: 47s - loss: 3.7137 - acc: 0.1125 - ETA: 47s - loss: 3.6067 - acc: 0.1300 - ETA: 47s - loss: 3.5731 - acc: 0.1250 - ETA: 47s - loss: 3.6847 - acc: 0.1214 - ETA: 47s - loss: 3.6473 - acc: 0.1313 - ETA: 47s - loss: 3.7237 - acc: 0.1222 - ETA: 46s - loss: 3.7519 - acc: 0.1150 - ETA: 46s - loss: 3.7844 - acc: 0.1182 - ETA: 46s - loss: 3.7537 - acc: 0.1250 - ETA: 46s - loss: 3.7412 - acc: 0.1192 - ETA: 46s - loss: 3.7215 - acc: 0.1286 - ETA: 45s - loss: 3.7525 - acc: 0.1233 - ETA: 45s - loss: 3.7522 - acc: 0.1250 - ETA: 45s - loss: 3.7174 - acc: 0.1324 - ETA: 45s - loss: 3.7136 - acc: 0.1333 - ETA: 45s - loss: 3.7339 - acc: 0.1263 - ETA: 45s - loss: 3.7372 - acc: 0.1225 - ETA: 44s - loss: 3.7572 - acc: 0.1214 - ETA: 44s - loss: 3.7618 - acc: 0.1227 - ETA: 44s - loss: 3.8058 - acc: 0.1196 - ETA: 44s - loss: 3.8195 - acc: 0.1208 - ETA: 44s - loss: 3.8538 - acc: 0.1180 - ETA: 44s - loss: 3.8442 - acc: 0.1192 - ETA: 44s - loss: 3.8551 - acc: 0.1204 - ETA: 43s - loss: 3.8682 - acc: 0.1179 - ETA: 43s - loss: 3.8682 - acc: 0.1172 - ETA: 43s - loss: 3.8797 - acc: 0.1167 - ETA: 43s - loss: 3.8713 - acc: 0.1177 - ETA: 43s - loss: 3.8700 - acc: 0.1156 - ETA: 43s - loss: 3.8715 - acc: 0.1152 - ETA: 42s - loss: 3.8671 - acc: 0.1147 - ETA: 42s - loss: 3.8644 - acc: 0.1171 - ETA: 42s - loss: 3.8514 - acc: 0.1194 - ETA: 42s - loss: 3.8553 - acc: 0.1216 - ETA: 42s - loss: 3.8614 - acc: 0.1237 - ETA: 42s - loss: 3.8585 - acc: 0.1231 - ETA: 42s - loss: 3.8511 - acc: 0.1250 - ETA: 42s - loss: 3.8479 - acc: 0.1268 - ETA: 41s - loss: 3.8501 - acc: 0.1238 - ETA: 41s - loss: 3.8349 - acc: 0.1267 - ETA: 41s - loss: 3.8257 - acc: 0.1273 - ETA: 41s - loss: 3.8325 - acc: 0.1256 - ETA: 41s - loss: 3.8262 - acc: 0.1250 - ETA: 41s - loss: 3.8177 - acc: 0.1277 - ETA: 40s - loss: 3.8140 - acc: 0.1281 - ETA: 40s - loss: 3.8134 - acc: 0.1265 - ETA: 40s - loss: 3.8146 - acc: 0.1250 - ETA: 40s - loss: 3.8110 - acc: 0.1235 - ETA: 40s - loss: 3.8168 - acc: 0.1231 - ETA: 40s - loss: 3.8057 - acc: 0.1264 - ETA: 40s - loss: 3.8072 - acc: 0.1250 - ETA: 39s - loss: 3.8002 - acc: 0.1255 - ETA: 39s - loss: 3.7937 - acc: 0.1268 - ETA: 39s - loss: 3.7998 - acc: 0.1246 - ETA: 39s - loss: 3.7984 - acc: 0.1224 - ETA: 39s - loss: 3.7957 - acc: 0.1220 - ETA: 39s - loss: 3.7836 - acc: 0.1242 - ETA: 39s - loss: 3.7791 - acc: 0.1246 - ETA: 39s - loss: 3.7855 - acc: 0.1234 - ETA: 38s - loss: 3.7878 - acc: 0.1238 - ETA: 38s - loss: 3.7855 - acc: 0.1234 - ETA: 38s - loss: 3.7814 - acc: 0.1231 - ETA: 38s - loss: 3.7743 - acc: 0.1227 - ETA: 38s - loss: 3.7774 - acc: 0.1216 - ETA: 38s - loss: 3.7700 - acc: 0.1243 - ETA: 38s - loss: 3.7652 - acc: 0.1254 - ETA: 37s - loss: 3.7654 - acc: 0.1257 - ETA: 37s - loss: 3.7682 - acc: 0.1261 - ETA: 37s - loss: 3.7773 - acc: 0.1264 - ETA: 37s - loss: 3.7727 - acc: 0.1281 - ETA: 37s - loss: 3.7669 - acc: 0.1291 - ETA: 37s - loss: 3.7632 - acc: 0.1280 - ETA: 37s - loss: 3.7599 - acc: 0.1276 - ETA: 36s - loss: 3.7600 - acc: 0.1260 - ETA: 36s - loss: 3.7591 - acc: 0.1250 - ETA: 36s - loss: 3.7627 - acc: 0.1253 - ETA: 36s - loss: 3.7616 - acc: 0.1244 - ETA: 36s - loss: 3.7617 - acc: 0.1259 - ETA: 36s - loss: 3.7520 - acc: 0.1268 - ETA: 36s - loss: 3.7498 - acc: 0.1265 - ETA: 35s - loss: 3.7452 - acc: 0.1262 - ETA: 35s - loss: 3.7445 - acc: 0.1253 - ETA: 35s - loss: 3.7390 - acc: 0.1244 - ETA: 35s - loss: 3.7434 - acc: 0.1236 - ETA: 35s - loss: 3.7483 - acc: 0.1239 - ETA: 35s - loss: 3.7453 - acc: 0.1253 - ETA: 34s - loss: 3.7408 - acc: 0.1267 - ETA: 34s - loss: 3.7441 - acc: 0.1253 - ETA: 34s - loss: 3.7453 - acc: 0.1255 - ETA: 34s - loss: 3.7519 - acc: 0.1247 - ETA: 34s - loss: 3.7511 - acc: 0.1245 - ETA: 34s - loss: 3.7502 - acc: 0.1237 - ETA: 34s - loss: 3.7490 - acc: 0.1240 - ETA: 33s - loss: 3.7549 - acc: 0.1232 - ETA: 33s - loss: 3.7535 - acc: 0.1230 - ETA: 33s - loss: 3.7498 - acc: 0.1217 - ETA: 33s - loss: 3.7480 - acc: 0.1225 - ETA: 33s - loss: 3.7527 - acc: 0.1223 - ETA: 33s - loss: 3.7583 - acc: 0.1211 - ETA: 33s - loss: 3.7588 - acc: 0.1223 - ETA: 32s - loss: 3.7623 - acc: 0.1231 - ETA: 32s - loss: 3.7656 - acc: 0.1229 - ETA: 32s - loss: 3.7626 - acc: 0.1241 - ETA: 32s - loss: 3.7626 - acc: 0.1238 - ETA: 32s - loss: 3.7612 - acc: 0.1236 - ETA: 32s - loss: 3.7603 - acc: 0.1234 - ETA: 32s - loss: 3.7566 - acc: 0.1245 - ETA: 31s - loss: 3.7566 - acc: 0.1261 - ETA: 31s - loss: 3.7597 - acc: 0.1254 - ETA: 31s - loss: 3.7605 - acc: 0.1257 - ETA: 31s - loss: 3.7602 - acc: 0.1254 - ETA: 31s - loss: 3.7593 - acc: 0.1248 - ETA: 31s - loss: 3.7608 - acc: 0.1237 - ETA: 31s - loss: 3.7588 - acc: 0.1244 - ETA: 30s - loss: 3.7602 - acc: 0.1233 - ETA: 30s - loss: 3.7612 - acc: 0.1223 - ETA: 30s - loss: 3.7590 - acc: 0.1217 - ETA: 30s - loss: 3.7566 - acc: 0.1219 - ETA: 30s - loss: 3.7540 - acc: 0.1217 - ETA: 30s - loss: 3.7514 - acc: 0.1207 - ETA: 30s - loss: 3.7485 - acc: 0.1210 - ETA: 29s - loss: 3.7524 - acc: 0.1204 - ETA: 29s - loss: 3.7557 - acc: 0.1210 - ETA: 29s - loss: 3.7535 - acc: 0.1217 - ETA: 29s - loss: 3.7517 - acc: 0.1215 - ETA: 29s - loss: 3.7512 - acc: 0.1205 - ETA: 29s - loss: 3.7474 - acc: 0.1208 - ETA: 29s - loss: 3.7463 - acc: 0.1206 - ETA: 28s - loss: 3.7471 - acc: 0.1197 - ETA: 28s - loss: 3.7460 - acc: 0.1199 - ETA: 28s - loss: 3.7464 - acc: 0.1194 - ETA: 28s - loss: 3.7471 - acc: 0.1185 - ETA: 28s - loss: 3.7474 - acc: 0.1191 - ETA: 28s - loss: 3.7545 - acc: 0.1190 - ETA: 28s - loss: 3.7532 - acc: 0.1185 - ETA: 27s - loss: 3.7554 - acc: 0.1180 - ETA: 27s - loss: 3.7571 - acc: 0.1175 - ETA: 27s - loss: 3.7548 - acc: 0.1184 - ETA: 27s - loss: 3.7516 - acc: 0.1183 - ETA: 27s - loss: 3.7498 - acc: 0.1185 - ETA: 27s - loss: 3.7498 - acc: 0.1188 - ETA: 27s - loss: 3.7505 - acc: 0.1186 - ETA: 26s - loss: 3.7487 - acc: 0.1188 - ETA: 26s - loss: 3.7478 - acc: 0.1187 - ETA: 26s - loss: 3.7512 - acc: 0.1182 - ETA: 26s - loss: 3.7488 - acc: 0.1181 - ETA: 26s - loss: 3.7498 - acc: 0.1183 - ETA: 26s - loss: 3.7468 - acc: 0.1185 - ETA: 26s - loss: 3.7511 - acc: 0.1181 - ETA: 26s - loss: 3.7493 - acc: 0.1183 - ETA: 25s - loss: 3.7488 - acc: 0.1185 - ETA: 25s - loss: 3.7450 - acc: 0.1187 - ETA: 25s - loss: 3.7453 - acc: 0.1179 - ETA: 25s - loss: 3.7489 - acc: 0.1172 - ETA: 25s - loss: 3.7527 - acc: 0.1165 - ETA: 25s - loss: 3.7541 - acc: 0.1160 - ETA: 24s - loss: 3.7557 - acc: 0.1156 - ETA: 24s - loss: 3.7529 - acc: 0.1161 - ETA: 24s - loss: 3.7513 - acc: 0.1160 - ETA: 24s - loss: 3.7517 - acc: 0.1160 - ETA: 24s - loss: 3.7556 - acc: 0.1159 - ETA: 24s - loss: 3.7557 - acc: 0.1158 - ETA: 24s - loss: 3.7559 - acc: 0.1160 - ETA: 23s - loss: 3.7572 - acc: 0.1159 - ETA: 23s - loss: 3.7586 - acc: 0.1164 - ETA: 23s - loss: 3.7594 - acc: 0.1160 - ETA: 23s - loss: 3.7605 - acc: 0.1159 - ETA: 23s - loss: 3.7626 - acc: 0.1155 - ETA: 23s - loss: 3.7670 - acc: 0.1151 - ETA: 23s - loss: 3.7684 - acc: 0.1147 - ETA: 22s - loss: 3.7673 - acc: 0.1149 - ETA: 22s - loss: 3.7660 - acc: 0.1149 - ETA: 22s - loss: 3.7640 - acc: 0.1153 - ETA: 22s - loss: 3.7648 - acc: 0.1150 - ETA: 22s - loss: 3.7657 - acc: 0.1149 - ETA: 22s - loss: 3.7718 - acc: 0.1145 - ETA: 22s - loss: 3.7712 - acc: 0.1147 - ETA: 21s - loss: 3.7735 - acc: 0.1152 - ETA: 21s - loss: 3.7735 - acc: 0.1154 - ETA: 21s - loss: 3.7719 - acc: 0.1158 - ETA: 21s - loss: 3.7762 - acc: 0.1152 - ETA: 21s - loss: 3.7751 - acc: 0.1154 - ETA: 21s - loss: 3.7746 - acc: 0.1153 - ETA: 21s - loss: 3.7751 - acc: 0.1158 - ETA: 20s - loss: 3.7750 - acc: 0.1154 - ETA: 20s - loss: 3.7747 - acc: 0.1153 - ETA: 20s - loss: 3.7748 - acc: 0.1155 - ETA: 20s - loss: 3.7727 - acc: 0.1154 - ETA: 20s - loss: 3.7745 - acc: 0.1154 - ETA: 20s - loss: 3.7789 - acc: 0.1148 - ETA: 20s - loss: 3.7783 - acc: 0.1142 - ETA: 19s - loss: 3.7772 - acc: 0.1141 - ETA: 19s - loss: 3.7767 - acc: 0.1138 - ETA: 19s - loss: 3.7747 - acc: 0.1140 - ETA: 19s - loss: 3.7741 - acc: 0.1139 - ETA: 19s - loss: 3.7754 - acc: 0.1133 - ETA: 19s - loss: 3.7757 - acc: 0.1128 - ETA: 19s - loss: 3.7719 - acc: 0.1134 - ETA: 18s - loss: 3.7700 - acc: 0.1134 - ETA: 18s - loss: 3.7703 - acc: 0.1131 - ETA: 18s - loss: 3.7694 - acc: 0.1127 - ETA: 18s - loss: 3.7674 - acc: 0.1129 - ETA: 18s - loss: 3.7692 - acc: 0.1126 - ETA: 18s - loss: 3.7745 - acc: 0.1121 - ETA: 18s - loss: 3.7749 - acc: 0.1123 - ETA: 17s - loss: 3.7770 - acc: 0.1120 - ETA: 17s - loss: 3.7809 - acc: 0.1117 - ETA: 17s - loss: 3.7814 - acc: 0.1116 - ETA: 17s - loss: 3.7813 - acc: 0.1113 - ETA: 17s - loss: 3.7804 - acc: 0.1115 - ETA: 17s - loss: 3.7811 - acc: 0.1112 - ETA: 17s - loss: 3.7798 - acc: 0.1109 - ETA: 16s - loss: 3.7799 - acc: 0.1106 - ETA: 16s - loss: 3.7790 - acc: 0.1108 - ETA: 16s - loss: 3.7778 - acc: 0.1108 - ETA: 16s - loss: 3.7800 - acc: 0.1103 - ETA: 16s - loss: 3.7808 - acc: 0.1102 - ETA: 16s - loss: 3.7812 - acc: 0.1100 - ETA: 16s - loss: 3.7808 - acc: 0.1099 - ETA: 15s - loss: 3.7814 - acc: 0.1103 - ETA: 15s - loss: 3.7814 - acc: 0.1109 - ETA: 15s - loss: 3.7807 - acc: 0.1109 - ETA: 15s - loss: 3.7811 - acc: 0.1113 - ETA: 15s - loss: 3.7826 - acc: 0.1110 - ETA: 15s - loss: 3.7819 - acc: 0.1107 - ETA: 15s - loss: 3.7828 - acc: 0.1109 - ETA: 14s - loss: 3.7824 - acc: 0.1111 - ETA: 14s - loss: 3.7821 - acc: 0.1113 - ETA: 14s - loss: 3.7828 - acc: 0.1108 - ETA: 14s - loss: 3.7836 - acc: 0.1107 - ETA: 14s - loss: 3.7822 - acc: 0.1111 - ETA: 14s - loss: 3.7810 - acc: 0.1111 - ETA: 14s - loss: 3.7816 - acc: 0.1106 - ETA: 13s - loss: 3.7800 - acc: 0.1103 - ETA: 13s - loss: 3.7790 - acc: 0.1107 - ETA: 13s - loss: 3.7788 - acc: 0.1115 - ETA: 13s - loss: 3.7764 - acc: 0.1117 - ETA: 13s - loss: 3.7792 - acc: 0.1114 - ETA: 13s - loss: 3.7810 - acc: 0.1110 - ETA: 13s - loss: 3.7828 - acc: 0.1107 - ETA: 12s - loss: 3.7844 - acc: 0.1105 - ETA: 12s - loss: 3.7829 - acc: 0.1108 - ETA: 12s - loss: 3.7830 - acc: 0.1104 - ETA: 12s - loss: 3.7834 - acc: 0.1105 - ETA: 12s - loss: 3.7848 - acc: 0.1103 - ETA: 12s - loss: 3.7862 - acc: 0.1100 - ETA: 12s - loss: 3.7859 - acc: 0.1098 - ETA: 11s - loss: 3.7848 - acc: 0.1102 - ETA: 11s - loss: 3.7841 - acc: 0.1103 - ETA: 11s - loss: 3.7838 - acc: 0.1099 - ETA: 11s - loss: 3.7838 - acc: 0.1100 - ETA: 11s - loss: 3.7835 - acc: 0.1100 - ETA: 11s - loss: 3.7836 - acc: 0.1100 - ETA: 11s - loss: 3.7825 - acc: 0.1101 - ETA: 10s - loss: 3.7824 - acc: 0.1105 - ETA: 10s - loss: 3.7834 - acc: 0.1104 - ETA: 10s - loss: 3.7844 - acc: 0.1104 - ETA: 10s - loss: 3.7855 - acc: 0.1103 - ETA: 10s - loss: 3.7868 - acc: 0.1099 - ETA: 10s - loss: 3.7859 - acc: 0.1105 - ETA: 10s - loss: 3.7861 - acc: 0.1102 - ETA: 9s - loss: 3.7854 - acc: 0.1100 - ETA: 9s - loss: 3.7838 - acc: 0.1102 - ETA: 9s - loss: 3.7841 - acc: 0.1107 - ETA: 9s - loss: 3.7833 - acc: 0.1112 - ETA: 9s - loss: 3.7827 - acc: 0.1112 - ETA: 9s - loss: 3.7819 - acc: 0.1109 - ETA: 9s - loss: 3.7802 - acc: 0.1111 - ETA: 8s - loss: 3.7798 - acc: 0.1110 - ETA: 8s - loss: 3.7806 - acc: 0.1106 - ETA: 8s - loss: 3.7828 - acc: 0.1102 - ETA: 8s - loss: 3.7815 - acc: 0.1098 - ETA: 8s - loss: 3.7815 - acc: 0.1096 - ETA: 8s - loss: 3.7837 - acc: 0.1092 - ETA: 8s - loss: 3.7846 - acc: 0.1092 - ETA: 7s - loss: 3.7851 - acc: 0.1088 - ETA: 7s - loss: 3.7845 - acc: 0.1089 - ETA: 7s - loss: 3.7831 - acc: 0.1093 - ETA: 7s - loss: 3.7824 - acc: 0.1090 - ETA: 7s - loss: 3.7823 - acc: 0.1088 - ETA: 7s - loss: 3.7820 - acc: 0.1092 - ETA: 7s - loss: 3.7789 - acc: 0.1098 - ETA: 6s - loss: 3.7791 - acc: 0.1101 - ETA: 6s - loss: 3.7806 - acc: 0.1101 - ETA: 6s - loss: 3.7811 - acc: 0.1097 - ETA: 6s - loss: 3.7806 - acc: 0.1097 - ETA: 6s - loss: 3.7790 - acc: 0.1102 - ETA: 6s - loss: 3.7789 - acc: 0.1101 - ETA: 6s - loss: 3.7793 - acc: 0.1101 - ETA: 5s - loss: 3.7776 - acc: 0.1101 - ETA: 5s - loss: 3.7785 - acc: 0.1099 - ETA: 5s - loss: 3.7786 - acc: 0.1097 - ETA: 5s - loss: 3.7767 - acc: 0.1100 - ETA: 5s - loss: 3.7774 - acc: 0.1096 - ETA: 5s - loss: 3.7784 - acc: 0.1092 - ETA: 5s - loss: 3.7777 - acc: 0.1092 - ETA: 4s - loss: 3.7776 - acc: 0.1095 - ETA: 4s - loss: 3.7773 - acc: 0.1096 - ETA: 4s - loss: 3.7763 - acc: 0.1099 - ETA: 4s - loss: 3.7760 - acc: 0.1104 - ETA: 4s - loss: 3.7781 - acc: 0.1104 - ETA: 4s - loss: 3.7800 - acc: 0.1105 - ETA: 4s - loss: 3.7797 - acc: 0.1108 - ETA: 3s - loss: 3.7796 - acc: 0.1106 - ETA: 3s - loss: 3.7800 - acc: 0.1104 - ETA: 3s - loss: 3.7798 - acc: 0.1102 - ETA: 3s - loss: 3.7802 - acc: 0.1102 - ETA: 3s - loss: 3.7799 - acc: 0.1103 - ETA: 3s - loss: 3.7809 - acc: 0.1104 - ETA: 3s - loss: 3.7809 - acc: 0.1104 - ETA: 2s - loss: 3.7793 - acc: 0.1105 - ETA: 2s - loss: 3.7798 - acc: 0.1103 - ETA: 2s - loss: 3.7805 - acc: 0.1104 - ETA: 2s - loss: 3.7798 - acc: 0.1106 - ETA: 2s - loss: 3.7785 - acc: 0.1113 - ETA: 2s - loss: 3.7805 - acc: 0.1111 - ETA: 2s - loss: 3.7797 - acc: 0.1114 - ETA: 1s - loss: 3.7813 - acc: 0.1111 - ETA: 1s - loss: 3.7827 - acc: 0.1107 - ETA: 1s - loss: 3.7831 - acc: 0.1105 - ETA: 1s - loss: 3.7826 - acc: 0.1108 - ETA: 1s - loss: 3.7817 - acc: 0.1111 - ETA: 1s - loss: 3.7816 - acc: 0.1109 - ETA: 1s - loss: 3.7802 - acc: 0.1110 - ETA: 0s - loss: 3.7794 - acc: 0.1110 - ETA: 0s - loss: 3.7798 - acc: 0.1108 - ETA: 0s - loss: 3.7788 - acc: 0.1109 - ETA: 0s - loss: 3.7796 - acc: 0.1107 - ETA: 0s - loss: 3.7801 - acc: 0.1107 - ETA: 0s - loss: 3.7812 - acc: 0.1105Epoch 00025: val_loss improved from 3.97793 to 3.85743, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 3.7801 - acc: 0.1109 - val_loss: 3.8574 - val_acc: 0.0850 Epoch 27/40 6660/6680 [============================>.] - ETA: 43s - loss: 3.5744 - acc: 0.2000 - ETA: 47s - loss: 3.6200 - acc: 0.1250 - ETA: 47s - loss: 3.6697 - acc: 0.1000 - ETA: 47s - loss: 3.5447 - acc: 0.0875 - ETA: 46s - loss: 3.5566 - acc: 0.0900 - ETA: 46s - loss: 3.6239 - acc: 0.1000 - ETA: 46s - loss: 3.6222 - acc: 0.1000 - ETA: 46s - loss: 3.6529 - acc: 0.0938 - ETA: 46s - loss: 3.6461 - acc: 0.1000 - ETA: 46s - loss: 3.6314 - acc: 0.1050 - ETA: 46s - loss: 3.6233 - acc: 0.1091 - ETA: 46s - loss: 3.6268 - acc: 0.1125 - ETA: 46s - loss: 3.6468 - acc: 0.1077 - ETA: 45s - loss: 3.6325 - acc: 0.1036 - ETA: 45s - loss: 3.6124 - acc: 0.1100 - ETA: 45s - loss: 3.5893 - acc: 0.1156 - ETA: 45s - loss: 3.5963 - acc: 0.1176 - ETA: 45s - loss: 3.6306 - acc: 0.1111 - ETA: 45s - loss: 3.6424 - acc: 0.1184 - ETA: 45s - loss: 3.6602 - acc: 0.1175 - ETA: 45s - loss: 3.6469 - acc: 0.1214 - ETA: 44s - loss: 3.6235 - acc: 0.1250 - ETA: 44s - loss: 3.6215 - acc: 0.1261 - ETA: 44s - loss: 3.6217 - acc: 0.1271 - ETA: 44s - loss: 3.6143 - acc: 0.1320 - ETA: 44s - loss: 3.6066 - acc: 0.1288 - ETA: 44s - loss: 3.6025 - acc: 0.1278 - ETA: 43s - loss: 3.6227 - acc: 0.1268 - ETA: 43s - loss: 3.6321 - acc: 0.1259 - ETA: 43s - loss: 3.6275 - acc: 0.1250 - ETA: 43s - loss: 3.6473 - acc: 0.1258 - ETA: 43s - loss: 3.6575 - acc: 0.1250 - ETA: 43s - loss: 3.6617 - acc: 0.1227 - ETA: 43s - loss: 3.6599 - acc: 0.1250 - ETA: 43s - loss: 3.6599 - acc: 0.1229 - ETA: 43s - loss: 3.6509 - acc: 0.1250 - ETA: 42s - loss: 3.6465 - acc: 0.1257 - ETA: 42s - loss: 3.6570 - acc: 0.1263 - ETA: 42s - loss: 3.6690 - acc: 0.1244 - ETA: 42s - loss: 3.6827 - acc: 0.1275 - ETA: 42s - loss: 3.6924 - acc: 0.1280 - ETA: 42s - loss: 3.6968 - acc: 0.1286 - ETA: 42s - loss: 3.7034 - acc: 0.1279 - ETA: 41s - loss: 3.7101 - acc: 0.1273 - ETA: 41s - loss: 3.7125 - acc: 0.1267 - ETA: 41s - loss: 3.7172 - acc: 0.1250 - ETA: 41s - loss: 3.7193 - acc: 0.1255 - ETA: 41s - loss: 3.7201 - acc: 0.1271 - ETA: 41s - loss: 3.7127 - acc: 0.1306 - ETA: 41s - loss: 3.7008 - acc: 0.1310 - ETA: 40s - loss: 3.6960 - acc: 0.1304 - ETA: 40s - loss: 3.6934 - acc: 0.1298 - ETA: 40s - loss: 3.6957 - acc: 0.1283 - ETA: 40s - loss: 3.6966 - acc: 0.1278 - ETA: 40s - loss: 3.7006 - acc: 0.1264 - ETA: 40s - loss: 3.7023 - acc: 0.1250 - ETA: 40s - loss: 3.6993 - acc: 0.1272 - ETA: 39s - loss: 3.6956 - acc: 0.1259 - ETA: 39s - loss: 3.6952 - acc: 0.1263 - ETA: 39s - loss: 3.6999 - acc: 0.1250 - ETA: 39s - loss: 3.6974 - acc: 0.1279 - ETA: 39s - loss: 3.7050 - acc: 0.1266 - ETA: 39s - loss: 3.7041 - acc: 0.1262 - ETA: 39s - loss: 3.7063 - acc: 0.1258 - ETA: 38s - loss: 3.7011 - acc: 0.1269 - ETA: 38s - loss: 3.7002 - acc: 0.1265 - ETA: 38s - loss: 3.7057 - acc: 0.1284 - ETA: 38s - loss: 3.7283 - acc: 0.1265 - ETA: 38s - loss: 3.7306 - acc: 0.1261 - ETA: 38s - loss: 3.7287 - acc: 0.1243 - ETA: 38s - loss: 3.7310 - acc: 0.1254 - ETA: 37s - loss: 3.7323 - acc: 0.1250 - ETA: 37s - loss: 3.7342 - acc: 0.1253 - ETA: 37s - loss: 3.7361 - acc: 0.1257 - ETA: 37s - loss: 3.7360 - acc: 0.1273 - ETA: 37s - loss: 3.7399 - acc: 0.1263 - ETA: 37s - loss: 3.7378 - acc: 0.1273 - ETA: 37s - loss: 3.7434 - acc: 0.1282 - ETA: 36s - loss: 3.7465 - acc: 0.1278 - ETA: 36s - loss: 3.7558 - acc: 0.1263 - ETA: 36s - loss: 3.7570 - acc: 0.1253 - ETA: 36s - loss: 3.7580 - acc: 0.1244 - ETA: 36s - loss: 3.7589 - acc: 0.1235 - ETA: 36s - loss: 3.7629 - acc: 0.1226 - ETA: 35s - loss: 3.7599 - acc: 0.1224 - ETA: 35s - loss: 3.7604 - acc: 0.1221 - ETA: 35s - loss: 3.7549 - acc: 0.1236 - ETA: 35s - loss: 3.7519 - acc: 0.1227 - ETA: 35s - loss: 3.7544 - acc: 0.1219 - ETA: 35s - loss: 3.7513 - acc: 0.1233 - ETA: 35s - loss: 3.7504 - acc: 0.1242 - ETA: 34s - loss: 3.7532 - acc: 0.1234 - ETA: 34s - loss: 3.7554 - acc: 0.1231 - ETA: 34s - loss: 3.7563 - acc: 0.1234 - ETA: 34s - loss: 3.7570 - acc: 0.1226 - ETA: 34s - loss: 3.7594 - acc: 0.1224 - ETA: 34s - loss: 3.7575 - acc: 0.1237 - ETA: 34s - loss: 3.7571 - acc: 0.1230 - ETA: 33s - loss: 3.7544 - acc: 0.1227 - ETA: 33s - loss: 3.7647 - acc: 0.1215 - ETA: 33s - loss: 3.7626 - acc: 0.1218 - ETA: 33s - loss: 3.7580 - acc: 0.1225 - ETA: 33s - loss: 3.7542 - acc: 0.1223 - ETA: 33s - loss: 3.7532 - acc: 0.1216 - ETA: 33s - loss: 3.7536 - acc: 0.1219 - ETA: 32s - loss: 3.7539 - acc: 0.1217 - ETA: 32s - loss: 3.7533 - acc: 0.1224 - ETA: 32s - loss: 3.7562 - acc: 0.1231 - ETA: 32s - loss: 3.7575 - acc: 0.1229 - ETA: 32s - loss: 3.7555 - acc: 0.1236 - ETA: 32s - loss: 3.7578 - acc: 0.1234 - ETA: 32s - loss: 3.7604 - acc: 0.1232 - ETA: 31s - loss: 3.7583 - acc: 0.1243 - ETA: 31s - loss: 3.7580 - acc: 0.1241 - ETA: 31s - loss: 3.7567 - acc: 0.1248 - ETA: 31s - loss: 3.7554 - acc: 0.1254 - ETA: 31s - loss: 3.7545 - acc: 0.1248 - ETA: 31s - loss: 3.7579 - acc: 0.1246 - ETA: 31s - loss: 3.7594 - acc: 0.1248 - ETA: 30s - loss: 3.7575 - acc: 0.1250 - ETA: 30s - loss: 3.7564 - acc: 0.1248 - ETA: 30s - loss: 3.7533 - acc: 0.1254 - ETA: 30s - loss: 3.7530 - acc: 0.1248 - ETA: 30s - loss: 3.7515 - acc: 0.1250 - ETA: 30s - loss: 3.7512 - acc: 0.1244 - ETA: 29s - loss: 3.7470 - acc: 0.1238 - ETA: 29s - loss: 3.7415 - acc: 0.1244 - ETA: 29s - loss: 3.7420 - acc: 0.1242 - ETA: 29s - loss: 3.7396 - acc: 0.1240 - ETA: 29s - loss: 3.7358 - acc: 0.1242 - ETA: 29s - loss: 3.7343 - acc: 0.1248 - ETA: 29s - loss: 3.7321 - acc: 0.1246 - ETA: 28s - loss: 3.7345 - acc: 0.1244 - ETA: 28s - loss: 3.7374 - acc: 0.1243 - ETA: 28s - loss: 3.7376 - acc: 0.1241 - ETA: 28s - loss: 3.7391 - acc: 0.1239 - ETA: 28s - loss: 3.7374 - acc: 0.1245 - ETA: 28s - loss: 3.7331 - acc: 0.1246 - ETA: 28s - loss: 3.7349 - acc: 0.1237 - ETA: 27s - loss: 3.7384 - acc: 0.1232 - ETA: 27s - loss: 3.7378 - acc: 0.1234 - ETA: 27s - loss: 3.7336 - acc: 0.1243 - ETA: 27s - loss: 3.7331 - acc: 0.1241 - ETA: 27s - loss: 3.7372 - acc: 0.1236 - ETA: 27s - loss: 3.7314 - acc: 0.1248 - ETA: 27s - loss: 3.7344 - acc: 0.1243 - ETA: 26s - loss: 3.7340 - acc: 0.1248 - ETA: 26s - loss: 3.7371 - acc: 0.1243 - ETA: 26s - loss: 3.7384 - acc: 0.1245 - ETA: 26s - loss: 3.7376 - acc: 0.1250 - ETA: 26s - loss: 3.7365 - acc: 0.1248 - ETA: 26s - loss: 3.7326 - acc: 0.1253 - ETA: 26s - loss: 3.7373 - acc: 0.1252 - ETA: 25s - loss: 3.7352 - acc: 0.1253 - ETA: 25s - loss: 3.7343 - acc: 0.1255 - ETA: 25s - loss: 3.7326 - acc: 0.1263 - ETA: 25s - loss: 3.7315 - acc: 0.1258 - ETA: 25s - loss: 3.7357 - acc: 0.1256 - ETA: 25s - loss: 3.7358 - acc: 0.1255 - ETA: 25s - loss: 3.7355 - acc: 0.1253 - ETA: 24s - loss: 3.7386 - acc: 0.1252 - ETA: 24s - loss: 3.7402 - acc: 0.1253 - ETA: 24s - loss: 3.7394 - acc: 0.1252 - ETA: 24s - loss: 3.7380 - acc: 0.1250 - ETA: 24s - loss: 3.7378 - acc: 0.1248 - ETA: 24s - loss: 3.7400 - acc: 0.1244 - ETA: 24s - loss: 3.7405 - acc: 0.1243 - ETA: 23s - loss: 3.7402 - acc: 0.1250 - ETA: 23s - loss: 3.7412 - acc: 0.1243 - ETA: 23s - loss: 3.7450 - acc: 0.1238 - ETA: 23s - loss: 3.7420 - acc: 0.1240 - ETA: 23s - loss: 3.7405 - acc: 0.1233 - ETA: 23s - loss: 3.7408 - acc: 0.1237 - ETA: 23s - loss: 3.7410 - acc: 0.1239 - ETA: 22s - loss: 3.7400 - acc: 0.1243 - ETA: 22s - loss: 3.7406 - acc: 0.1241 - ETA: 22s - loss: 3.7405 - acc: 0.1237 - ETA: 22s - loss: 3.7386 - acc: 0.1239 - ETA: 22s - loss: 3.7398 - acc: 0.1240 - ETA: 22s - loss: 3.7382 - acc: 0.1242 - ETA: 22s - loss: 3.7354 - acc: 0.1246 - ETA: 21s - loss: 3.7327 - acc: 0.1255 - ETA: 21s - loss: 3.7325 - acc: 0.1254 - ETA: 21s - loss: 3.7313 - acc: 0.1255 - ETA: 21s - loss: 3.7297 - acc: 0.1254 - ETA: 21s - loss: 3.7303 - acc: 0.1258 - ETA: 21s - loss: 3.7322 - acc: 0.1257 - ETA: 21s - loss: 3.7308 - acc: 0.1261 - ETA: 20s - loss: 3.7324 - acc: 0.1262 - ETA: 20s - loss: 3.7340 - acc: 0.1266 - ETA: 20s - loss: 3.7337 - acc: 0.1262 - ETA: 20s - loss: 3.7342 - acc: 0.1263 - ETA: 20s - loss: 3.7337 - acc: 0.1264 - ETA: 20s - loss: 3.7339 - acc: 0.1258 - ETA: 20s - loss: 3.7352 - acc: 0.1256 - ETA: 19s - loss: 3.7344 - acc: 0.1258 - ETA: 19s - loss: 3.7355 - acc: 0.1251 - ETA: 19s - loss: 3.7374 - acc: 0.1253 - ETA: 19s - loss: 3.7358 - acc: 0.1254 - ETA: 19s - loss: 3.7363 - acc: 0.1258 - ETA: 19s - loss: 3.7372 - acc: 0.1256 - ETA: 18s - loss: 3.7361 - acc: 0.1252 - ETA: 18s - loss: 3.7381 - acc: 0.1246 - ETA: 18s - loss: 3.7395 - acc: 0.1245 - ETA: 18s - loss: 3.7394 - acc: 0.1244 - ETA: 18s - loss: 3.7388 - acc: 0.1245 - ETA: 18s - loss: 3.7387 - acc: 0.1242 - ETA: 18s - loss: 3.7393 - acc: 0.1238 - ETA: 17s - loss: 3.7368 - acc: 0.1242 - ETA: 17s - loss: 3.7351 - acc: 0.1240 - ETA: 17s - loss: 3.7346 - acc: 0.1244 - ETA: 17s - loss: 3.7335 - acc: 0.1245 - ETA: 17s - loss: 3.7332 - acc: 0.1244 - ETA: 17s - loss: 3.7321 - acc: 0.1248 - ETA: 17s - loss: 3.7314 - acc: 0.1247 - ETA: 16s - loss: 3.7287 - acc: 0.1255 - ETA: 16s - loss: 3.7280 - acc: 0.1256 - ETA: 16s - loss: 3.7272 - acc: 0.1257 - ETA: 16s - loss: 3.7265 - acc: 0.1253 - ETA: 16s - loss: 3.7258 - acc: 0.1259 - ETA: 16s - loss: 3.7239 - acc: 0.1262 - ETA: 16s - loss: 3.7228 - acc: 0.1268 - ETA: 15s - loss: 3.7221 - acc: 0.1269 - ETA: 15s - loss: 3.7207 - acc: 0.1272 - ETA: 15s - loss: 3.7204 - acc: 0.1271 - ETA: 15s - loss: 3.7237 - acc: 0.1268 - ETA: 15s - loss: 3.7252 - acc: 0.1264 - ETA: 15s - loss: 3.7256 - acc: 0.1263 - ETA: 15s - loss: 3.7258 - acc: 0.1260 - ETA: 14s - loss: 3.7257 - acc: 0.1259 - ETA: 14s - loss: 3.7249 - acc: 0.1258 - ETA: 14s - loss: 3.7256 - acc: 0.1254 - ETA: 14s - loss: 3.7248 - acc: 0.1255 - ETA: 14s - loss: 3.7246 - acc: 0.1252 - ETA: 14s - loss: 3.7251 - acc: 0.1247 - ETA: 14s - loss: 3.7247 - acc: 0.1244 - ETA: 13s - loss: 3.7255 - acc: 0.1241 - ETA: 13s - loss: 3.7246 - acc: 0.1239 - ETA: 13s - loss: 3.7238 - acc: 0.1236 - ETA: 13s - loss: 3.7235 - acc: 0.1240 - ETA: 13s - loss: 3.7231 - acc: 0.1241 - ETA: 13s - loss: 3.7230 - acc: 0.1244 - ETA: 13s - loss: 3.7219 - acc: 0.1243 - ETA: 12s - loss: 3.7231 - acc: 0.1238 - ETA: 12s - loss: 3.7213 - acc: 0.1241 - ETA: 12s - loss: 3.7203 - acc: 0.1242 - ETA: 12s - loss: 3.7224 - acc: 0.1237 - ETA: 12s - loss: 3.7253 - acc: 0.1232 - ETA: 12s - loss: 3.7243 - acc: 0.1231 - ETA: 12s - loss: 3.7254 - acc: 0.1228 - ETA: 11s - loss: 3.7250 - acc: 0.1229 - ETA: 11s - loss: 3.7279 - acc: 0.1228 - ETA: 11s - loss: 3.7286 - acc: 0.1229 - ETA: 11s - loss: 3.7270 - acc: 0.1230 - ETA: 11s - loss: 3.7267 - acc: 0.1233 - ETA: 11s - loss: 3.7282 - acc: 0.1232 - ETA: 11s - loss: 3.7267 - acc: 0.1232 - ETA: 10s - loss: 3.7257 - acc: 0.1231 - ETA: 10s - loss: 3.7242 - acc: 0.1232 - ETA: 10s - loss: 3.7243 - acc: 0.1235 - ETA: 10s - loss: 3.7244 - acc: 0.1232 - ETA: 10s - loss: 3.7235 - acc: 0.1233 - ETA: 10s - loss: 3.7235 - acc: 0.1234 - ETA: 10s - loss: 3.7226 - acc: 0.1237 - ETA: 9s - loss: 3.7231 - acc: 0.1238 - ETA: 9s - loss: 3.7230 - acc: 0.1239 - ETA: 9s - loss: 3.7240 - acc: 0.1236 - ETA: 9s - loss: 3.7234 - acc: 0.1239 - ETA: 9s - loss: 3.7226 - acc: 0.1236 - ETA: 9s - loss: 3.7236 - acc: 0.1231 - ETA: 9s - loss: 3.7219 - acc: 0.1234 - ETA: 8s - loss: 3.7193 - acc: 0.1235 - ETA: 8s - loss: 3.7198 - acc: 0.1236 - ETA: 8s - loss: 3.7207 - acc: 0.1235 - ETA: 8s - loss: 3.7207 - acc: 0.1236 - ETA: 8s - loss: 3.7193 - acc: 0.1237 - ETA: 8s - loss: 3.7205 - acc: 0.1235 - ETA: 8s - loss: 3.7210 - acc: 0.1234 - ETA: 7s - loss: 3.7222 - acc: 0.1233 - ETA: 7s - loss: 3.7219 - acc: 0.1236 - ETA: 7s - loss: 3.7214 - acc: 0.1233 - ETA: 7s - loss: 3.7217 - acc: 0.1232 - ETA: 7s - loss: 3.7217 - acc: 0.1233 - ETA: 7s - loss: 3.7224 - acc: 0.1229 - ETA: 7s - loss: 3.7209 - acc: 0.1230 - ETA: 6s - loss: 3.7199 - acc: 0.1234 - ETA: 6s - loss: 3.7187 - acc: 0.1237 - ETA: 6s - loss: 3.7184 - acc: 0.1233 - ETA: 6s - loss: 3.7190 - acc: 0.1232 - ETA: 6s - loss: 3.7202 - acc: 0.1229 - ETA: 6s - loss: 3.7206 - acc: 0.1230 - ETA: 6s - loss: 3.7203 - acc: 0.1229 - ETA: 5s - loss: 3.7212 - acc: 0.1234 - ETA: 5s - loss: 3.7222 - acc: 0.1233 - ETA: 5s - loss: 3.7223 - acc: 0.1236 - ETA: 5s - loss: 3.7223 - acc: 0.1236 - ETA: 5s - loss: 3.7213 - acc: 0.1234 - ETA: 5s - loss: 3.7217 - acc: 0.1233 - ETA: 5s - loss: 3.7218 - acc: 0.1231 - ETA: 4s - loss: 3.7214 - acc: 0.1230 - ETA: 4s - loss: 3.7223 - acc: 0.1233 - ETA: 4s - loss: 3.7210 - acc: 0.1240 - ETA: 4s - loss: 3.7215 - acc: 0.1239 - ETA: 4s - loss: 3.7235 - acc: 0.1242 - ETA: 4s - loss: 3.7230 - acc: 0.1248 - ETA: 4s - loss: 3.7229 - acc: 0.1248 - ETA: 3s - loss: 3.7239 - acc: 0.1246 - ETA: 3s - loss: 3.7252 - acc: 0.1244 - ETA: 3s - loss: 3.7243 - acc: 0.1246 - ETA: 3s - loss: 3.7244 - acc: 0.1244 - ETA: 3s - loss: 3.7241 - acc: 0.1241 - ETA: 3s - loss: 3.7241 - acc: 0.1240 - ETA: 3s - loss: 3.7230 - acc: 0.1241 - ETA: 2s - loss: 3.7225 - acc: 0.1240 - ETA: 2s - loss: 3.7219 - acc: 0.1238 - ETA: 2s - loss: 3.7206 - acc: 0.1239 - ETA: 2s - loss: 3.7223 - acc: 0.1235 - ETA: 2s - loss: 3.7225 - acc: 0.1233 - ETA: 2s - loss: 3.7242 - acc: 0.1234 - ETA: 2s - loss: 3.7235 - acc: 0.1234 - ETA: 1s - loss: 3.7225 - acc: 0.1237 - ETA: 1s - loss: 3.7229 - acc: 0.1239 - ETA: 1s - loss: 3.7222 - acc: 0.1238 - ETA: 1s - loss: 3.7221 - acc: 0.1235 - ETA: 1s - loss: 3.7225 - acc: 0.1234 - ETA: 1s - loss: 3.7250 - acc: 0.1232 - ETA: 1s - loss: 3.7238 - acc: 0.1232 - ETA: 0s - loss: 3.7231 - acc: 0.1236 - ETA: 0s - loss: 3.7224 - acc: 0.1236 - ETA: 0s - loss: 3.7217 - acc: 0.1235 - ETA: 0s - loss: 3.7196 - acc: 0.1237 - ETA: 0s - loss: 3.7193 - acc: 0.1236 - ETA: 0s - loss: 3.7192 - acc: 0.1236Epoch 00026: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.7199 - acc: 0.1237 - val_loss: 3.9648 - val_acc: 0.0910 Epoch 28/40 6660/6680 [============================>.] - ETA: 49s - loss: 4.0429 - acc: 0.1500 - ETA: 47s - loss: 3.7675 - acc: 0.1500 - ETA: 46s - loss: 3.8412 - acc: 0.1333 - ETA: 46s - loss: 3.8098 - acc: 0.1500 - ETA: 46s - loss: 3.8331 - acc: 0.1500 - ETA: 46s - loss: 3.8207 - acc: 0.1417 - ETA: 46s - loss: 3.8129 - acc: 0.1357 - ETA: 46s - loss: 3.8087 - acc: 0.1313 - ETA: 46s - loss: 3.7130 - acc: 0.1444 - ETA: 46s - loss: 3.6452 - acc: 0.1500 - ETA: 45s - loss: 3.6439 - acc: 0.1500 - ETA: 45s - loss: 3.6551 - acc: 0.1417 - ETA: 45s - loss: 3.6559 - acc: 0.1500 - ETA: 45s - loss: 3.6386 - acc: 0.1607 - ETA: 45s - loss: 3.6583 - acc: 0.1500 - ETA: 45s - loss: 3.6590 - acc: 0.1500 - ETA: 45s - loss: 3.6599 - acc: 0.1412 - ETA: 45s - loss: 3.6411 - acc: 0.1389 - ETA: 45s - loss: 3.6180 - acc: 0.1474 - ETA: 44s - loss: 3.6013 - acc: 0.1450 - ETA: 44s - loss: 3.5965 - acc: 0.1405 - ETA: 44s - loss: 3.6031 - acc: 0.1341 - ETA: 44s - loss: 3.5863 - acc: 0.1370 - ETA: 44s - loss: 3.5947 - acc: 0.1375 - ETA: 44s - loss: 3.6021 - acc: 0.1360 - ETA: 44s - loss: 3.6050 - acc: 0.1327 - ETA: 44s - loss: 3.6070 - acc: 0.1296 - ETA: 44s - loss: 3.6060 - acc: 0.1268 - ETA: 43s - loss: 3.6100 - acc: 0.1224 - ETA: 43s - loss: 3.6230 - acc: 0.1183 - ETA: 43s - loss: 3.6180 - acc: 0.1194 - ETA: 43s - loss: 3.6105 - acc: 0.1203 - ETA: 43s - loss: 3.6246 - acc: 0.1182 - ETA: 43s - loss: 3.6177 - acc: 0.1250 - ETA: 42s - loss: 3.6115 - acc: 0.1243 - ETA: 42s - loss: 3.6203 - acc: 0.1250 - ETA: 42s - loss: 3.6326 - acc: 0.1230 - ETA: 42s - loss: 3.6244 - acc: 0.1237 - ETA: 42s - loss: 3.6125 - acc: 0.1269 - ETA: 42s - loss: 3.6115 - acc: 0.1275 - ETA: 42s - loss: 3.6192 - acc: 0.1256 - ETA: 41s - loss: 3.6018 - acc: 0.1298 - ETA: 41s - loss: 3.6165 - acc: 0.1291 - ETA: 41s - loss: 3.6241 - acc: 0.1284 - ETA: 41s - loss: 3.6278 - acc: 0.1278 - ETA: 41s - loss: 3.6182 - acc: 0.1283 - ETA: 41s - loss: 3.6149 - acc: 0.1277 - ETA: 40s - loss: 3.6184 - acc: 0.1250 - ETA: 40s - loss: 3.6102 - acc: 0.1265 - ETA: 40s - loss: 3.6094 - acc: 0.1250 - ETA: 40s - loss: 3.6083 - acc: 0.1265 - ETA: 40s - loss: 3.6161 - acc: 0.1260 - ETA: 40s - loss: 3.6164 - acc: 0.1255 - ETA: 40s - loss: 3.6159 - acc: 0.1250 - ETA: 40s - loss: 3.6236 - acc: 0.1264 - ETA: 39s - loss: 3.6341 - acc: 0.1259 - ETA: 39s - loss: 3.6348 - acc: 0.1263 - ETA: 39s - loss: 3.6387 - acc: 0.1259 - ETA: 39s - loss: 3.6330 - acc: 0.1263 - ETA: 39s - loss: 3.6401 - acc: 0.1250 - ETA: 39s - loss: 3.6377 - acc: 0.1246 - ETA: 39s - loss: 3.6327 - acc: 0.1250 - ETA: 38s - loss: 3.6332 - acc: 0.1238 - ETA: 38s - loss: 3.6328 - acc: 0.1242 - ETA: 38s - loss: 3.6321 - acc: 0.1238 - ETA: 38s - loss: 3.6317 - acc: 0.1235 - ETA: 38s - loss: 3.6370 - acc: 0.1239 - ETA: 38s - loss: 3.6322 - acc: 0.1250 - ETA: 38s - loss: 3.6434 - acc: 0.1239 - ETA: 37s - loss: 3.6507 - acc: 0.1229 - ETA: 37s - loss: 3.6493 - acc: 0.1239 - ETA: 37s - loss: 3.6563 - acc: 0.1222 - ETA: 37s - loss: 3.6549 - acc: 0.1212 - ETA: 37s - loss: 3.6559 - acc: 0.1209 - ETA: 37s - loss: 3.6524 - acc: 0.1200 - ETA: 37s - loss: 3.6505 - acc: 0.1211 - ETA: 36s - loss: 3.6458 - acc: 0.1227 - ETA: 36s - loss: 3.6451 - acc: 0.1218 - ETA: 36s - loss: 3.6542 - acc: 0.1209 - ETA: 36s - loss: 3.6516 - acc: 0.1194 - ETA: 36s - loss: 3.6480 - acc: 0.1198 - ETA: 36s - loss: 3.6524 - acc: 0.1195 - ETA: 36s - loss: 3.6520 - acc: 0.1193 - ETA: 35s - loss: 3.6532 - acc: 0.1179 - ETA: 35s - loss: 3.6502 - acc: 0.1165 - ETA: 35s - loss: 3.6468 - acc: 0.1174 - ETA: 35s - loss: 3.6535 - acc: 0.1172 - ETA: 35s - loss: 3.6572 - acc: 0.1165 - ETA: 35s - loss: 3.6540 - acc: 0.1163 - ETA: 34s - loss: 3.6552 - acc: 0.1167 - ETA: 34s - loss: 3.6548 - acc: 0.1165 - ETA: 34s - loss: 3.6579 - acc: 0.1163 - ETA: 34s - loss: 3.6562 - acc: 0.1151 - ETA: 34s - loss: 3.6553 - acc: 0.1160 - ETA: 34s - loss: 3.6566 - acc: 0.1174 - ETA: 34s - loss: 3.6592 - acc: 0.1172 - ETA: 34s - loss: 3.6553 - acc: 0.1180 - ETA: 33s - loss: 3.6561 - acc: 0.1173 - ETA: 33s - loss: 3.6522 - acc: 0.1172 - ETA: 33s - loss: 3.6528 - acc: 0.1160 - ETA: 33s - loss: 3.6509 - acc: 0.1168 - ETA: 33s - loss: 3.6484 - acc: 0.1167 - ETA: 33s - loss: 3.6456 - acc: 0.1175 - ETA: 32s - loss: 3.6435 - acc: 0.1173 - ETA: 32s - loss: 3.6433 - acc: 0.1181 - ETA: 32s - loss: 3.6423 - acc: 0.1184 - ETA: 32s - loss: 3.6429 - acc: 0.1178 - ETA: 32s - loss: 3.6407 - acc: 0.1190 - ETA: 32s - loss: 3.6385 - acc: 0.1197 - ETA: 32s - loss: 3.6359 - acc: 0.1214 - ETA: 31s - loss: 3.6305 - acc: 0.1230 - ETA: 31s - loss: 3.6334 - acc: 0.1223 - ETA: 31s - loss: 3.6339 - acc: 0.1221 - ETA: 31s - loss: 3.6337 - acc: 0.1211 - ETA: 31s - loss: 3.6351 - acc: 0.1204 - ETA: 31s - loss: 3.6345 - acc: 0.1211 - ETA: 31s - loss: 3.6334 - acc: 0.1201 - ETA: 31s - loss: 3.6348 - acc: 0.1208 - ETA: 30s - loss: 3.6330 - acc: 0.1210 - ETA: 30s - loss: 3.6325 - acc: 0.1213 - ETA: 30s - loss: 3.6343 - acc: 0.1207 - ETA: 30s - loss: 3.6332 - acc: 0.1213 - ETA: 30s - loss: 3.6349 - acc: 0.1211 - ETA: 30s - loss: 3.6366 - acc: 0.1214 - ETA: 30s - loss: 3.6390 - acc: 0.1204 - ETA: 29s - loss: 3.6396 - acc: 0.1210 - ETA: 29s - loss: 3.6377 - acc: 0.1213 - ETA: 29s - loss: 3.6352 - acc: 0.1207 - ETA: 29s - loss: 3.6363 - acc: 0.1217 - ETA: 29s - loss: 3.6387 - acc: 0.1215 - ETA: 29s - loss: 3.6429 - acc: 0.1210 - ETA: 29s - loss: 3.6473 - acc: 0.1205 - ETA: 28s - loss: 3.6468 - acc: 0.1203 - ETA: 28s - loss: 3.6469 - acc: 0.1198 - ETA: 28s - loss: 3.6484 - acc: 0.1193 - ETA: 28s - loss: 3.6471 - acc: 0.1188 - ETA: 28s - loss: 3.6472 - acc: 0.1190 - ETA: 28s - loss: 3.6490 - acc: 0.1188 - ETA: 28s - loss: 3.6503 - acc: 0.1187 - ETA: 27s - loss: 3.6494 - acc: 0.1196 - ETA: 27s - loss: 3.6537 - acc: 0.1191 - ETA: 27s - loss: 3.6520 - acc: 0.1197 - ETA: 27s - loss: 3.6548 - acc: 0.1196 - ETA: 27s - loss: 3.6546 - acc: 0.1194 - ETA: 27s - loss: 3.6559 - acc: 0.1190 - ETA: 27s - loss: 3.6557 - acc: 0.1188 - ETA: 26s - loss: 3.6538 - acc: 0.1190 - ETA: 26s - loss: 3.6547 - acc: 0.1186 - ETA: 26s - loss: 3.6543 - acc: 0.1185 - ETA: 26s - loss: 3.6568 - acc: 0.1177 - ETA: 26s - loss: 3.6562 - acc: 0.1175 - ETA: 26s - loss: 3.6543 - acc: 0.1174 - ETA: 26s - loss: 3.6535 - acc: 0.1176 - ETA: 25s - loss: 3.6531 - acc: 0.1172 - ETA: 25s - loss: 3.6531 - acc: 0.1168 - ETA: 25s - loss: 3.6533 - acc: 0.1176 - ETA: 25s - loss: 3.6511 - acc: 0.1182 - ETA: 25s - loss: 3.6489 - acc: 0.1184 - ETA: 25s - loss: 3.6517 - acc: 0.1179 - ETA: 25s - loss: 3.6550 - acc: 0.1178 - ETA: 24s - loss: 3.6566 - acc: 0.1174 - ETA: 24s - loss: 3.6568 - acc: 0.1173 - ETA: 24s - loss: 3.6561 - acc: 0.1181 - ETA: 24s - loss: 3.6573 - acc: 0.1180 - ETA: 24s - loss: 3.6581 - acc: 0.1188 - ETA: 24s - loss: 3.6616 - acc: 0.1184 - ETA: 24s - loss: 3.6611 - acc: 0.1186 - ETA: 23s - loss: 3.6598 - acc: 0.1190 - ETA: 23s - loss: 3.6578 - acc: 0.1195 - ETA: 23s - loss: 3.6607 - acc: 0.1191 - ETA: 23s - loss: 3.6630 - acc: 0.1193 - ETA: 23s - loss: 3.6616 - acc: 0.1198 - ETA: 23s - loss: 3.6608 - acc: 0.1199 - ETA: 22s - loss: 3.6599 - acc: 0.1193 - ETA: 22s - loss: 3.6588 - acc: 0.1194 - ETA: 22s - loss: 3.6573 - acc: 0.1193 - ETA: 22s - loss: 3.6568 - acc: 0.1189 - ETA: 22s - loss: 3.6558 - acc: 0.1191 - ETA: 22s - loss: 3.6537 - acc: 0.1196 - ETA: 22s - loss: 3.6555 - acc: 0.1194 - ETA: 21s - loss: 3.6564 - acc: 0.1193 - ETA: 21s - loss: 3.6578 - acc: 0.1192 - ETA: 21s - loss: 3.6604 - acc: 0.1186 - ETA: 21s - loss: 3.6589 - acc: 0.1190 - ETA: 21s - loss: 3.6629 - acc: 0.1184 - ETA: 21s - loss: 3.6624 - acc: 0.1180 - ETA: 21s - loss: 3.6612 - acc: 0.1179 - ETA: 20s - loss: 3.6610 - acc: 0.1178 - ETA: 20s - loss: 3.6610 - acc: 0.1172 - ETA: 20s - loss: 3.6602 - acc: 0.1168 - ETA: 20s - loss: 3.6578 - acc: 0.1181 - ETA: 20s - loss: 3.6598 - acc: 0.1177 - ETA: 20s - loss: 3.6592 - acc: 0.1179 - ETA: 20s - loss: 3.6593 - acc: 0.1178 - ETA: 19s - loss: 3.6586 - acc: 0.1177 - ETA: 19s - loss: 3.6581 - acc: 0.1179 - ETA: 19s - loss: 3.6576 - acc: 0.1185 - ETA: 19s - loss: 3.6578 - acc: 0.1187 - ETA: 19s - loss: 3.6584 - acc: 0.1186 - ETA: 19s - loss: 3.6586 - acc: 0.1183 - ETA: 19s - loss: 3.6589 - acc: 0.1179 - ETA: 18s - loss: 3.6615 - acc: 0.1178 - ETA: 18s - loss: 3.6585 - acc: 0.1182 - ETA: 18s - loss: 3.6587 - acc: 0.1181 - ETA: 18s - loss: 3.6601 - acc: 0.1178 - ETA: 18s - loss: 3.6624 - acc: 0.1177 - ETA: 18s - loss: 3.6612 - acc: 0.1174 - ETA: 18s - loss: 3.6600 - acc: 0.1173 - ETA: 17s - loss: 3.6593 - acc: 0.1179 - ETA: 17s - loss: 3.6575 - acc: 0.1179 - ETA: 17s - loss: 3.6579 - acc: 0.1182 - ETA: 17s - loss: 3.6563 - acc: 0.1184 - ETA: 17s - loss: 3.6555 - acc: 0.1181 - ETA: 17s - loss: 3.6549 - acc: 0.1178 - ETA: 17s - loss: 3.6564 - acc: 0.1174 - ETA: 16s - loss: 3.6533 - acc: 0.1178 - ETA: 16s - loss: 3.6529 - acc: 0.1173 - ETA: 16s - loss: 3.6514 - acc: 0.1174 - ETA: 16s - loss: 3.6529 - acc: 0.1174 - ETA: 16s - loss: 3.6532 - acc: 0.1173 - ETA: 16s - loss: 3.6531 - acc: 0.1176 - ETA: 16s - loss: 3.6534 - acc: 0.1176 - ETA: 15s - loss: 3.6550 - acc: 0.1173 - ETA: 15s - loss: 3.6566 - acc: 0.1170 - ETA: 15s - loss: 3.6584 - acc: 0.1171 - ETA: 15s - loss: 3.6596 - acc: 0.1175 - ETA: 15s - loss: 3.6578 - acc: 0.1178 - ETA: 15s - loss: 3.6589 - acc: 0.1175 - ETA: 15s - loss: 3.6580 - acc: 0.1177 - ETA: 14s - loss: 3.6583 - acc: 0.1176 - ETA: 14s - loss: 3.6577 - acc: 0.1180 - ETA: 14s - loss: 3.6574 - acc: 0.1181 - ETA: 14s - loss: 3.6576 - acc: 0.1180 - ETA: 14s - loss: 3.6575 - acc: 0.1179 - ETA: 14s - loss: 3.6582 - acc: 0.1179 - ETA: 14s - loss: 3.6580 - acc: 0.1176 - ETA: 13s - loss: 3.6581 - acc: 0.1173 - ETA: 13s - loss: 3.6598 - acc: 0.1170 - ETA: 13s - loss: 3.6596 - acc: 0.1172 - ETA: 13s - loss: 3.6584 - acc: 0.1171 - ETA: 13s - loss: 3.6604 - acc: 0.1172 - ETA: 13s - loss: 3.6602 - acc: 0.1174 - ETA: 13s - loss: 3.6608 - acc: 0.1173 - ETA: 12s - loss: 3.6602 - acc: 0.1170 - ETA: 12s - loss: 3.6621 - acc: 0.1169 - ETA: 12s - loss: 3.6636 - acc: 0.1167 - ETA: 12s - loss: 3.6649 - acc: 0.1172 - ETA: 12s - loss: 3.6651 - acc: 0.1175 - ETA: 12s - loss: 3.6624 - acc: 0.1183 - ETA: 12s - loss: 3.6639 - acc: 0.1182 - ETA: 11s - loss: 3.6621 - acc: 0.1183 - ETA: 11s - loss: 3.6615 - acc: 0.1185 - ETA: 11s - loss: 3.6591 - acc: 0.1190 - ETA: 11s - loss: 3.6597 - acc: 0.1187 - ETA: 11s - loss: 3.6598 - acc: 0.1184 - ETA: 11s - loss: 3.6602 - acc: 0.1180 - ETA: 11s - loss: 3.6600 - acc: 0.1183 - ETA: 10s - loss: 3.6653 - acc: 0.1182 - ETA: 10s - loss: 3.6682 - acc: 0.1180 - ETA: 10s - loss: 3.6685 - acc: 0.1179 - ETA: 10s - loss: 3.6690 - acc: 0.1178 - ETA: 10s - loss: 3.6691 - acc: 0.1179 - ETA: 10s - loss: 3.6698 - acc: 0.1177 - ETA: 10s - loss: 3.6702 - acc: 0.1180 - ETA: 9s - loss: 3.6690 - acc: 0.1185 - ETA: 9s - loss: 3.6697 - acc: 0.1186 - ETA: 9s - loss: 3.6695 - acc: 0.1182 - ETA: 9s - loss: 3.6694 - acc: 0.1181 - ETA: 9s - loss: 3.6694 - acc: 0.1186 - ETA: 9s - loss: 3.6694 - acc: 0.1185 - ETA: 9s - loss: 3.6682 - acc: 0.1188 - ETA: 8s - loss: 3.6676 - acc: 0.1188 - ETA: 8s - loss: 3.6682 - acc: 0.1192 - ETA: 8s - loss: 3.6693 - acc: 0.1192 - ETA: 8s - loss: 3.6697 - acc: 0.1189 - ETA: 8s - loss: 3.6693 - acc: 0.1192 - ETA: 8s - loss: 3.6706 - acc: 0.1199 - ETA: 8s - loss: 3.6705 - acc: 0.1196 - ETA: 7s - loss: 3.6703 - acc: 0.1195 - ETA: 7s - loss: 3.6709 - acc: 0.1196 - ETA: 7s - loss: 3.6702 - acc: 0.1194 - ETA: 7s - loss: 3.6704 - acc: 0.1193 - ETA: 7s - loss: 3.6713 - acc: 0.1191 - ETA: 7s - loss: 3.6717 - acc: 0.1187 - ETA: 7s - loss: 3.6711 - acc: 0.1186 - ETA: 6s - loss: 3.6704 - acc: 0.1185 - ETA: 6s - loss: 3.6717 - acc: 0.1188 - ETA: 6s - loss: 3.6730 - acc: 0.1188 - ETA: 6s - loss: 3.6742 - acc: 0.1187 - ETA: 6s - loss: 3.6749 - acc: 0.1188 - ETA: 6s - loss: 3.6746 - acc: 0.1184 - ETA: 6s - loss: 3.6751 - acc: 0.1185 - ETA: 5s - loss: 3.6760 - acc: 0.1183 - ETA: 5s - loss: 3.6755 - acc: 0.1182 - ETA: 5s - loss: 3.6743 - acc: 0.1185 - ETA: 5s - loss: 3.6765 - acc: 0.1184 - ETA: 5s - loss: 3.6766 - acc: 0.1185 - ETA: 5s - loss: 3.6750 - acc: 0.1188 - ETA: 5s - loss: 3.6748 - acc: 0.1187 - ETA: 4s - loss: 3.6744 - acc: 0.1192 - ETA: 4s - loss: 3.6740 - acc: 0.1189 - ETA: 4s - loss: 3.6762 - acc: 0.1185 - ETA: 4s - loss: 3.6755 - acc: 0.1188 - ETA: 4s - loss: 3.6750 - acc: 0.1186 - ETA: 4s - loss: 3.6738 - acc: 0.1189 - ETA: 4s - loss: 3.6735 - acc: 0.1186 - ETA: 3s - loss: 3.6746 - acc: 0.1186 - ETA: 3s - loss: 3.6729 - acc: 0.1183 - ETA: 3s - loss: 3.6698 - acc: 0.1191 - ETA: 3s - loss: 3.6703 - acc: 0.1192 - ETA: 3s - loss: 3.6687 - acc: 0.1195 - ETA: 3s - loss: 3.6736 - acc: 0.1194 - ETA: 3s - loss: 3.6751 - acc: 0.1193 - ETA: 2s - loss: 3.6744 - acc: 0.1197 - ETA: 2s - loss: 3.6748 - acc: 0.1200 - ETA: 2s - loss: 3.6737 - acc: 0.1201 - ETA: 2s - loss: 3.6753 - acc: 0.1199 - ETA: 2s - loss: 3.6752 - acc: 0.1201 - ETA: 2s - loss: 3.6740 - acc: 0.1202 - ETA: 2s - loss: 3.6728 - acc: 0.1203 - ETA: 1s - loss: 3.6727 - acc: 0.1206 - ETA: 1s - loss: 3.6720 - acc: 0.1210 - ETA: 1s - loss: 3.6722 - acc: 0.1211 - ETA: 1s - loss: 3.6720 - acc: 0.1208 - ETA: 1s - loss: 3.6716 - acc: 0.1209 - ETA: 1s - loss: 3.6724 - acc: 0.1212 - ETA: 1s - loss: 3.6720 - acc: 0.1211 - ETA: 0s - loss: 3.6705 - acc: 0.1213 - ETA: 0s - loss: 3.6698 - acc: 0.1216 - ETA: 0s - loss: 3.6710 - acc: 0.1214 - ETA: 0s - loss: 3.6724 - acc: 0.1210 - ETA: 0s - loss: 3.6726 - acc: 0.1208 - ETA: 0s - loss: 3.6717 - acc: 0.1209Epoch 00027: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.6704 - acc: 0.1211 - val_loss: 3.8747 - val_acc: 0.1090 Epoch 29/40 6660/6680 [============================>.] - ETA: 49s - loss: 3.8790 - acc: 0.1500 - ETA: 49s - loss: 4.0757 - acc: 0.0750 - ETA: 48s - loss: 3.8103 - acc: 0.1000 - ETA: 47s - loss: 3.7561 - acc: 0.1250 - ETA: 47s - loss: 3.5978 - acc: 0.1400 - ETA: 46s - loss: 3.5949 - acc: 0.1417 - ETA: 46s - loss: 3.5245 - acc: 0.1286 - ETA: 46s - loss: 3.4715 - acc: 0.1313 - ETA: 46s - loss: 3.4632 - acc: 0.1333 - ETA: 46s - loss: 3.4899 - acc: 0.1200 - ETA: 46s - loss: 3.4971 - acc: 0.1182 - ETA: 45s - loss: 3.5226 - acc: 0.1125 - ETA: 45s - loss: 3.5412 - acc: 0.1115 - ETA: 45s - loss: 3.5450 - acc: 0.1107 - ETA: 45s - loss: 3.5267 - acc: 0.1167 - ETA: 45s - loss: 3.5269 - acc: 0.1156 - ETA: 45s - loss: 3.5406 - acc: 0.1118 - ETA: 45s - loss: 3.5347 - acc: 0.1139 - ETA: 45s - loss: 3.5145 - acc: 0.1289 - ETA: 44s - loss: 3.5013 - acc: 0.1300 - ETA: 44s - loss: 3.4963 - acc: 0.1310 - ETA: 44s - loss: 3.5198 - acc: 0.1295 - ETA: 44s - loss: 3.5108 - acc: 0.1283 - ETA: 44s - loss: 3.5117 - acc: 0.1271 - ETA: 44s - loss: 3.5406 - acc: 0.1280 - ETA: 43s - loss: 3.5667 - acc: 0.1231 - ETA: 43s - loss: 3.5440 - acc: 0.1278 - ETA: 43s - loss: 3.5461 - acc: 0.1304 - ETA: 43s - loss: 3.5187 - acc: 0.1362 - ETA: 43s - loss: 3.5352 - acc: 0.1350 - ETA: 43s - loss: 3.5382 - acc: 0.1387 - ETA: 43s - loss: 3.5221 - acc: 0.1453 - ETA: 42s - loss: 3.5265 - acc: 0.1455 - ETA: 42s - loss: 3.5289 - acc: 0.1456 - ETA: 42s - loss: 3.5174 - acc: 0.1500 - ETA: 42s - loss: 3.5179 - acc: 0.1486 - ETA: 42s - loss: 3.5144 - acc: 0.1500 - ETA: 42s - loss: 3.5090 - acc: 0.1513 - ETA: 42s - loss: 3.5014 - acc: 0.1526 - ETA: 41s - loss: 3.5053 - acc: 0.1538 - ETA: 41s - loss: 3.5133 - acc: 0.1512 - ETA: 41s - loss: 3.5480 - acc: 0.1488 - ETA: 41s - loss: 3.5740 - acc: 0.1465 - ETA: 41s - loss: 3.5786 - acc: 0.1455 - ETA: 41s - loss: 3.5834 - acc: 0.1456 - ETA: 41s - loss: 3.5921 - acc: 0.1435 - ETA: 40s - loss: 3.5934 - acc: 0.1436 - ETA: 40s - loss: 3.5951 - acc: 0.1438 - ETA: 40s - loss: 3.6044 - acc: 0.1429 - ETA: 40s - loss: 3.5907 - acc: 0.1450 - ETA: 40s - loss: 3.5922 - acc: 0.1431 - ETA: 40s - loss: 3.5899 - acc: 0.1423 - ETA: 40s - loss: 3.5808 - acc: 0.1425 - ETA: 39s - loss: 3.5806 - acc: 0.1417 - ETA: 39s - loss: 3.5991 - acc: 0.1400 - ETA: 39s - loss: 3.6005 - acc: 0.1393 - ETA: 39s - loss: 3.6075 - acc: 0.1386 - ETA: 39s - loss: 3.6033 - acc: 0.1371 - ETA: 39s - loss: 3.5985 - acc: 0.1381 - ETA: 39s - loss: 3.5943 - acc: 0.1392 - ETA: 38s - loss: 3.5869 - acc: 0.1418 - ETA: 38s - loss: 3.5864 - acc: 0.1411 - ETA: 38s - loss: 3.5910 - acc: 0.1405 - ETA: 38s - loss: 3.5918 - acc: 0.1391 - ETA: 38s - loss: 3.5974 - acc: 0.1385 - ETA: 38s - loss: 3.5897 - acc: 0.1379 - ETA: 38s - loss: 3.5877 - acc: 0.1373 - ETA: 38s - loss: 3.5884 - acc: 0.1375 - ETA: 37s - loss: 3.5874 - acc: 0.1355 - ETA: 37s - loss: 3.5883 - acc: 0.1350 - ETA: 37s - loss: 3.5803 - acc: 0.1380 - ETA: 37s - loss: 3.5797 - acc: 0.1389 - ETA: 37s - loss: 3.5699 - acc: 0.1390 - ETA: 37s - loss: 3.5797 - acc: 0.1372 - ETA: 37s - loss: 3.5827 - acc: 0.1367 - ETA: 36s - loss: 3.5857 - acc: 0.1355 - ETA: 36s - loss: 3.5868 - acc: 0.1364 - ETA: 36s - loss: 3.5923 - acc: 0.1346 - ETA: 36s - loss: 3.5903 - acc: 0.1348 - ETA: 36s - loss: 3.5919 - acc: 0.1350 - ETA: 36s - loss: 3.5955 - acc: 0.1333 - ETA: 36s - loss: 3.5997 - acc: 0.1329 - ETA: 35s - loss: 3.6015 - acc: 0.1319 - ETA: 35s - loss: 3.5981 - acc: 0.1310 - ETA: 35s - loss: 3.5976 - acc: 0.1306 - ETA: 35s - loss: 3.6095 - acc: 0.1297 - ETA: 35s - loss: 3.6179 - acc: 0.1287 - ETA: 35s - loss: 3.6189 - acc: 0.1290 - ETA: 35s - loss: 3.6249 - acc: 0.1275 - ETA: 34s - loss: 3.6229 - acc: 0.1272 - ETA: 34s - loss: 3.6272 - acc: 0.1280 - ETA: 34s - loss: 3.6270 - acc: 0.1283 - ETA: 34s - loss: 3.6248 - acc: 0.1285 - ETA: 34s - loss: 3.6269 - acc: 0.1277 - ETA: 34s - loss: 3.6212 - acc: 0.1289 - ETA: 34s - loss: 3.6233 - acc: 0.1286 - ETA: 33s - loss: 3.6254 - acc: 0.1278 - ETA: 33s - loss: 3.6188 - acc: 0.1291 - ETA: 33s - loss: 3.6172 - acc: 0.1288 - ETA: 33s - loss: 3.6224 - acc: 0.1285 - ETA: 33s - loss: 3.6214 - acc: 0.1287 - ETA: 33s - loss: 3.6204 - acc: 0.1284 - ETA: 33s - loss: 3.6220 - acc: 0.1282 - ETA: 32s - loss: 3.6213 - acc: 0.1284 - ETA: 32s - loss: 3.6142 - acc: 0.1300 - ETA: 32s - loss: 3.6133 - acc: 0.1297 - ETA: 32s - loss: 3.6123 - acc: 0.1294 - ETA: 32s - loss: 3.6125 - acc: 0.1287 - ETA: 32s - loss: 3.6128 - acc: 0.1280 - ETA: 32s - loss: 3.6181 - acc: 0.1277 - ETA: 31s - loss: 3.6156 - acc: 0.1279 - ETA: 31s - loss: 3.6125 - acc: 0.1286 - ETA: 31s - loss: 3.6094 - acc: 0.1279 - ETA: 31s - loss: 3.6119 - acc: 0.1281 - ETA: 31s - loss: 3.6190 - acc: 0.1283 - ETA: 31s - loss: 3.6209 - acc: 0.1280 - ETA: 31s - loss: 3.6211 - acc: 0.1286 - ETA: 30s - loss: 3.6248 - acc: 0.1280 - ETA: 30s - loss: 3.6281 - acc: 0.1273 - ETA: 30s - loss: 3.6244 - acc: 0.1279 - ETA: 30s - loss: 3.6262 - acc: 0.1281 - ETA: 30s - loss: 3.6226 - acc: 0.1283 - ETA: 30s - loss: 3.6232 - acc: 0.1276 - ETA: 30s - loss: 3.6243 - acc: 0.1274 - ETA: 30s - loss: 3.6216 - acc: 0.1284 - ETA: 29s - loss: 3.6217 - acc: 0.1278 - ETA: 29s - loss: 3.6231 - acc: 0.1276 - ETA: 29s - loss: 3.6259 - acc: 0.1273 - ETA: 29s - loss: 3.6275 - acc: 0.1271 - ETA: 29s - loss: 3.6285 - acc: 0.1265 - ETA: 29s - loss: 3.6291 - acc: 0.1260 - ETA: 29s - loss: 3.6295 - acc: 0.1258 - ETA: 28s - loss: 3.6272 - acc: 0.1259 - ETA: 28s - loss: 3.6236 - acc: 0.1257 - ETA: 28s - loss: 3.6220 - acc: 0.1267 - ETA: 28s - loss: 3.6279 - acc: 0.1268 - ETA: 28s - loss: 3.6306 - acc: 0.1266 - ETA: 28s - loss: 3.6298 - acc: 0.1268 - ETA: 28s - loss: 3.6318 - acc: 0.1263 - ETA: 27s - loss: 3.6285 - acc: 0.1271 - ETA: 27s - loss: 3.6286 - acc: 0.1266 - ETA: 27s - loss: 3.6270 - acc: 0.1264 - ETA: 27s - loss: 3.6296 - acc: 0.1262 - ETA: 27s - loss: 3.6311 - acc: 0.1257 - ETA: 27s - loss: 3.6297 - acc: 0.1255 - ETA: 27s - loss: 3.6299 - acc: 0.1250 - ETA: 26s - loss: 3.6280 - acc: 0.1255 - ETA: 26s - loss: 3.6276 - acc: 0.1260 - ETA: 26s - loss: 3.6256 - acc: 0.1262 - ETA: 26s - loss: 3.6245 - acc: 0.1263 - ETA: 26s - loss: 3.6224 - acc: 0.1265 - ETA: 26s - loss: 3.6181 - acc: 0.1276 - ETA: 26s - loss: 3.6175 - acc: 0.1271 - ETA: 25s - loss: 3.6190 - acc: 0.1269 - ETA: 25s - loss: 3.6169 - acc: 0.1271 - ETA: 25s - loss: 3.6125 - acc: 0.1282 - ETA: 25s - loss: 3.6164 - acc: 0.1280 - ETA: 25s - loss: 3.6225 - acc: 0.1278 - ETA: 25s - loss: 3.6221 - acc: 0.1277 - ETA: 25s - loss: 3.6228 - acc: 0.1275 - ETA: 24s - loss: 3.6226 - acc: 0.1270 - ETA: 24s - loss: 3.6225 - acc: 0.1269 - ETA: 24s - loss: 3.6213 - acc: 0.1273 - ETA: 24s - loss: 3.6199 - acc: 0.1277 - ETA: 24s - loss: 3.6200 - acc: 0.1276 - ETA: 24s - loss: 3.6162 - acc: 0.1277 - ETA: 24s - loss: 3.6138 - acc: 0.1278 - ETA: 23s - loss: 3.6107 - acc: 0.1280 - ETA: 23s - loss: 3.6136 - acc: 0.1278 - ETA: 23s - loss: 3.6149 - acc: 0.1279 - ETA: 23s - loss: 3.6160 - acc: 0.1281 - ETA: 23s - loss: 3.6152 - acc: 0.1282 - ETA: 23s - loss: 3.6148 - acc: 0.1277 - ETA: 23s - loss: 3.6153 - acc: 0.1276 - ETA: 22s - loss: 3.6163 - acc: 0.1271 - ETA: 22s - loss: 3.6162 - acc: 0.1273 - ETA: 22s - loss: 3.6222 - acc: 0.1268 - ETA: 22s - loss: 3.6235 - acc: 0.1264 - ETA: 22s - loss: 3.6220 - acc: 0.1260 - ETA: 22s - loss: 3.6242 - acc: 0.1258 - ETA: 21s - loss: 3.6233 - acc: 0.1254 - ETA: 21s - loss: 3.6253 - acc: 0.1253 - ETA: 21s - loss: 3.6276 - acc: 0.1254 - ETA: 21s - loss: 3.6298 - acc: 0.1253 - ETA: 21s - loss: 3.6291 - acc: 0.1254 - ETA: 21s - loss: 3.6269 - acc: 0.1258 - ETA: 21s - loss: 3.6271 - acc: 0.1257 - ETA: 20s - loss: 3.6279 - acc: 0.1255 - ETA: 20s - loss: 3.6298 - acc: 0.1254 - ETA: 20s - loss: 3.6332 - acc: 0.1253 - ETA: 20s - loss: 3.6346 - acc: 0.1246 - ETA: 20s - loss: 3.6334 - acc: 0.1250 - ETA: 20s - loss: 3.6348 - acc: 0.1246 - ETA: 20s - loss: 3.6341 - acc: 0.1247 - ETA: 19s - loss: 3.6342 - acc: 0.1251 - ETA: 19s - loss: 3.6331 - acc: 0.1253 - ETA: 19s - loss: 3.6317 - acc: 0.1251 - ETA: 19s - loss: 3.6303 - acc: 0.1260 - ETA: 19s - loss: 3.6279 - acc: 0.1261 - ETA: 19s - loss: 3.6255 - acc: 0.1260 - ETA: 19s - loss: 3.6252 - acc: 0.1264 - ETA: 18s - loss: 3.6237 - acc: 0.1262 - ETA: 18s - loss: 3.6220 - acc: 0.1261 - ETA: 18s - loss: 3.6243 - acc: 0.1262 - ETA: 18s - loss: 3.6229 - acc: 0.1261 - ETA: 18s - loss: 3.6214 - acc: 0.1265 - ETA: 18s - loss: 3.6232 - acc: 0.1263 - ETA: 18s - loss: 3.6241 - acc: 0.1262 - ETA: 17s - loss: 3.6256 - acc: 0.1258 - ETA: 17s - loss: 3.6250 - acc: 0.1260 - ETA: 17s - loss: 3.6284 - acc: 0.1256 - ETA: 17s - loss: 3.6270 - acc: 0.1255 - ETA: 17s - loss: 3.6264 - acc: 0.1254 - ETA: 17s - loss: 3.6268 - acc: 0.1252 - ETA: 17s - loss: 3.6271 - acc: 0.1251 - ETA: 16s - loss: 3.6277 - acc: 0.1257 - ETA: 16s - loss: 3.6276 - acc: 0.1260 - ETA: 16s - loss: 3.6287 - acc: 0.1259 - ETA: 16s - loss: 3.6278 - acc: 0.1263 - ETA: 16s - loss: 3.6305 - acc: 0.1259 - ETA: 16s - loss: 3.6313 - acc: 0.1260 - ETA: 16s - loss: 3.6321 - acc: 0.1259 - ETA: 15s - loss: 3.6319 - acc: 0.1256 - ETA: 15s - loss: 3.6323 - acc: 0.1257 - ETA: 15s - loss: 3.6319 - acc: 0.1256 - ETA: 15s - loss: 3.6308 - acc: 0.1259 - ETA: 15s - loss: 3.6310 - acc: 0.1258 - ETA: 15s - loss: 3.6304 - acc: 0.1259 - ETA: 15s - loss: 3.6327 - acc: 0.1258 - ETA: 14s - loss: 3.6305 - acc: 0.1263 - ETA: 14s - loss: 3.6290 - acc: 0.1264 - ETA: 14s - loss: 3.6308 - acc: 0.1261 - ETA: 14s - loss: 3.6304 - acc: 0.1262 - ETA: 14s - loss: 3.6289 - acc: 0.1265 - ETA: 14s - loss: 3.6287 - acc: 0.1266 - ETA: 14s - loss: 3.6287 - acc: 0.1265 - ETA: 13s - loss: 3.6262 - acc: 0.1268 - ETA: 13s - loss: 3.6256 - acc: 0.1269 - ETA: 13s - loss: 3.6263 - acc: 0.1266 - ETA: 13s - loss: 3.6257 - acc: 0.1267 - ETA: 13s - loss: 3.6279 - acc: 0.1261 - ETA: 13s - loss: 3.6283 - acc: 0.1260 - ETA: 13s - loss: 3.6265 - acc: 0.1259 - ETA: 12s - loss: 3.6257 - acc: 0.1264 - ETA: 12s - loss: 3.6278 - acc: 0.1265 - ETA: 12s - loss: 3.6280 - acc: 0.1264 - ETA: 12s - loss: 3.6285 - acc: 0.1263 - ETA: 12s - loss: 3.6271 - acc: 0.1264 - ETA: 12s - loss: 3.6282 - acc: 0.1263 - ETA: 12s - loss: 3.6273 - acc: 0.1262 - ETA: 11s - loss: 3.6275 - acc: 0.1263 - ETA: 11s - loss: 3.6286 - acc: 0.1260 - ETA: 11s - loss: 3.6283 - acc: 0.1265 - ETA: 11s - loss: 3.6302 - acc: 0.1264 - ETA: 11s - loss: 3.6311 - acc: 0.1263 - ETA: 11s - loss: 3.6328 - acc: 0.1264 - ETA: 11s - loss: 3.6330 - acc: 0.1263 - ETA: 10s - loss: 3.6321 - acc: 0.1262 - ETA: 10s - loss: 3.6335 - acc: 0.1257 - ETA: 10s - loss: 3.6333 - acc: 0.1252 - ETA: 10s - loss: 3.6331 - acc: 0.1247 - ETA: 10s - loss: 3.6326 - acc: 0.1248 - ETA: 10s - loss: 3.6322 - acc: 0.1247 - ETA: 10s - loss: 3.6325 - acc: 0.1250 - ETA: 9s - loss: 3.6317 - acc: 0.1251 - ETA: 9s - loss: 3.6307 - acc: 0.1252 - ETA: 9s - loss: 3.6306 - acc: 0.1251 - ETA: 9s - loss: 3.6314 - acc: 0.1248 - ETA: 9s - loss: 3.6320 - acc: 0.1247 - ETA: 9s - loss: 3.6312 - acc: 0.1243 - ETA: 9s - loss: 3.6292 - acc: 0.1247 - ETA: 8s - loss: 3.6297 - acc: 0.1246 - ETA: 8s - loss: 3.6318 - acc: 0.1247 - ETA: 8s - loss: 3.6320 - acc: 0.1245 - ETA: 8s - loss: 3.6316 - acc: 0.1242 - ETA: 8s - loss: 3.6317 - acc: 0.1241 - ETA: 8s - loss: 3.6317 - acc: 0.1238 - ETA: 8s - loss: 3.6300 - acc: 0.1236 - ETA: 7s - loss: 3.6268 - acc: 0.1240 - ETA: 7s - loss: 3.6266 - acc: 0.1238 - ETA: 7s - loss: 3.6287 - acc: 0.1233 - ETA: 7s - loss: 3.6283 - acc: 0.1234 - ETA: 7s - loss: 3.6271 - acc: 0.1235 - ETA: 7s - loss: 3.6250 - acc: 0.1239 - ETA: 7s - loss: 3.6226 - acc: 0.1242 - ETA: 6s - loss: 3.6259 - acc: 0.1240 - ETA: 6s - loss: 3.6281 - acc: 0.1237 - ETA: 6s - loss: 3.6272 - acc: 0.1238 - ETA: 6s - loss: 3.6276 - acc: 0.1240 - ETA: 6s - loss: 3.6287 - acc: 0.1236 - ETA: 6s - loss: 3.6295 - acc: 0.1235 - ETA: 6s - loss: 3.6287 - acc: 0.1236 - ETA: 5s - loss: 3.6297 - acc: 0.1237 - ETA: 5s - loss: 3.6297 - acc: 0.1238 - ETA: 5s - loss: 3.6288 - acc: 0.1236 - ETA: 5s - loss: 3.6312 - acc: 0.1231 - ETA: 5s - loss: 3.6324 - acc: 0.1229 - ETA: 5s - loss: 3.6331 - acc: 0.1230 - ETA: 5s - loss: 3.6328 - acc: 0.1226 - ETA: 4s - loss: 3.6319 - acc: 0.1223 - ETA: 4s - loss: 3.6304 - acc: 0.1228 - ETA: 4s - loss: 3.6317 - acc: 0.1224 - ETA: 4s - loss: 3.6320 - acc: 0.1223 - ETA: 4s - loss: 3.6314 - acc: 0.1227 - ETA: 4s - loss: 3.6316 - acc: 0.1228 - ETA: 4s - loss: 3.6311 - acc: 0.1227 - ETA: 3s - loss: 3.6312 - acc: 0.1230 - ETA: 3s - loss: 3.6317 - acc: 0.1227 - ETA: 3s - loss: 3.6328 - acc: 0.1227 - ETA: 3s - loss: 3.6333 - acc: 0.1229 - ETA: 3s - loss: 3.6358 - acc: 0.1225 - ETA: 3s - loss: 3.6350 - acc: 0.1228 - ETA: 3s - loss: 3.6356 - acc: 0.1228 - ETA: 2s - loss: 3.6359 - acc: 0.1228 - ETA: 2s - loss: 3.6363 - acc: 0.1225 - ETA: 2s - loss: 3.6354 - acc: 0.1228 - ETA: 2s - loss: 3.6342 - acc: 0.1229 - ETA: 2s - loss: 3.6337 - acc: 0.1230 - ETA: 2s - loss: 3.6337 - acc: 0.1227 - ETA: 2s - loss: 3.6345 - acc: 0.1228 - ETA: 1s - loss: 3.6339 - acc: 0.1227 - ETA: 1s - loss: 3.6353 - acc: 0.1224 - ETA: 1s - loss: 3.6368 - acc: 0.1223 - ETA: 1s - loss: 3.6372 - acc: 0.1225 - ETA: 1s - loss: 3.6350 - acc: 0.1229 - ETA: 1s - loss: 3.6359 - acc: 0.1230 - ETA: 1s - loss: 3.6363 - acc: 0.1229 - ETA: 0s - loss: 3.6366 - acc: 0.1230 - ETA: 0s - loss: 3.6371 - acc: 0.1233 - ETA: 0s - loss: 3.6358 - acc: 0.1232 - ETA: 0s - loss: 3.6357 - acc: 0.1230 - ETA: 0s - loss: 3.6364 - acc: 0.1227 - ETA: 0s - loss: 3.6386 - acc: 0.1227Epoch 00028: val_loss improved from 3.85743 to 3.74694, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 3.6392 - acc: 0.1228 - val_loss: 3.7469 - val_acc: 0.1222 Epoch 30/40 6660/6680 [============================>.] - ETA: 51s - loss: 3.2601 - acc: 0.1500 - ETA: 49s - loss: 3.6726 - acc: 0.1000 - ETA: 48s - loss: 3.5539 - acc: 0.1167 - ETA: 48s - loss: 3.5470 - acc: 0.1250 - ETA: 47s - loss: 3.4862 - acc: 0.1300 - ETA: 47s - loss: 3.4991 - acc: 0.1333 - ETA: 47s - loss: 3.5048 - acc: 0.1214 - ETA: 47s - loss: 3.5198 - acc: 0.1125 - ETA: 47s - loss: 3.5139 - acc: 0.1222 - ETA: 46s - loss: 3.4974 - acc: 0.1250 - ETA: 46s - loss: 3.4577 - acc: 0.1273 - ETA: 46s - loss: 3.4520 - acc: 0.1292 - ETA: 46s - loss: 3.5097 - acc: 0.1269 - ETA: 46s - loss: 3.5064 - acc: 0.1357 - ETA: 46s - loss: 3.5271 - acc: 0.1267 - ETA: 46s - loss: 3.5278 - acc: 0.1313 - ETA: 45s - loss: 3.5183 - acc: 0.1324 - ETA: 45s - loss: 3.5365 - acc: 0.1250 - ETA: 45s - loss: 3.5362 - acc: 0.1211 - ETA: 45s - loss: 3.5200 - acc: 0.1250 - ETA: 45s - loss: 3.4941 - acc: 0.1286 - ETA: 45s - loss: 3.5062 - acc: 0.1295 - ETA: 44s - loss: 3.5271 - acc: 0.1283 - ETA: 44s - loss: 3.5336 - acc: 0.1292 - ETA: 44s - loss: 3.5290 - acc: 0.1280 - ETA: 44s - loss: 3.5290 - acc: 0.1269 - ETA: 44s - loss: 3.5210 - acc: 0.1241 - ETA: 44s - loss: 3.4994 - acc: 0.1286 - ETA: 44s - loss: 3.4979 - acc: 0.1259 - ETA: 44s - loss: 3.5150 - acc: 0.1283 - ETA: 43s - loss: 3.5124 - acc: 0.1290 - ETA: 43s - loss: 3.5124 - acc: 0.1250 - ETA: 43s - loss: 3.5197 - acc: 0.1242 - ETA: 43s - loss: 3.5195 - acc: 0.1235 - ETA: 43s - loss: 3.5232 - acc: 0.1243 - ETA: 43s - loss: 3.5247 - acc: 0.1222 - ETA: 42s - loss: 3.5367 - acc: 0.1189 - ETA: 42s - loss: 3.5487 - acc: 0.1184 - ETA: 42s - loss: 3.5393 - acc: 0.1192 - ETA: 42s - loss: 3.5263 - acc: 0.1225 - ETA: 42s - loss: 3.5272 - acc: 0.1232 - ETA: 42s - loss: 3.5327 - acc: 0.1226 - ETA: 41s - loss: 3.5387 - acc: 0.1244 - ETA: 41s - loss: 3.5454 - acc: 0.1250 - ETA: 41s - loss: 3.5392 - acc: 0.1244 - ETA: 41s - loss: 3.5397 - acc: 0.1261 - ETA: 41s - loss: 3.5344 - acc: 0.1277 - ETA: 41s - loss: 3.5289 - acc: 0.1302 - ETA: 41s - loss: 3.5276 - acc: 0.1296 - ETA: 40s - loss: 3.5273 - acc: 0.1290 - ETA: 40s - loss: 3.5107 - acc: 0.1324 - ETA: 40s - loss: 3.5179 - acc: 0.1317 - ETA: 40s - loss: 3.5177 - acc: 0.1311 - ETA: 40s - loss: 3.5103 - acc: 0.1343 - ETA: 40s - loss: 3.5130 - acc: 0.1364 - ETA: 40s - loss: 3.5107 - acc: 0.1357 - ETA: 40s - loss: 3.5136 - acc: 0.1351 - ETA: 39s - loss: 3.5210 - acc: 0.1353 - ETA: 39s - loss: 3.5287 - acc: 0.1373 - ETA: 39s - loss: 3.5331 - acc: 0.1367 - ETA: 39s - loss: 3.5296 - acc: 0.1369 - ETA: 39s - loss: 3.5245 - acc: 0.1387 - ETA: 39s - loss: 3.5243 - acc: 0.1389 - ETA: 39s - loss: 3.5365 - acc: 0.1391 - ETA: 38s - loss: 3.5395 - acc: 0.1408 - ETA: 38s - loss: 3.5373 - acc: 0.1417 - ETA: 38s - loss: 3.5400 - acc: 0.1425 - ETA: 38s - loss: 3.5360 - acc: 0.1434 - ETA: 38s - loss: 3.5356 - acc: 0.1442 - ETA: 38s - loss: 3.5411 - acc: 0.1436 - ETA: 38s - loss: 3.5382 - acc: 0.1451 - ETA: 37s - loss: 3.5367 - acc: 0.1438 - ETA: 37s - loss: 3.5322 - acc: 0.1445 - ETA: 37s - loss: 3.5305 - acc: 0.1453 - ETA: 37s - loss: 3.5308 - acc: 0.1453 - ETA: 37s - loss: 3.5313 - acc: 0.1454 - ETA: 37s - loss: 3.5367 - acc: 0.1442 - ETA: 37s - loss: 3.5293 - acc: 0.1442 - ETA: 36s - loss: 3.5301 - acc: 0.1437 - ETA: 36s - loss: 3.5323 - acc: 0.1431 - ETA: 36s - loss: 3.5277 - acc: 0.1444 - ETA: 36s - loss: 3.5290 - acc: 0.1445 - ETA: 36s - loss: 3.5261 - acc: 0.1452 - ETA: 36s - loss: 3.5280 - acc: 0.1446 - ETA: 36s - loss: 3.5274 - acc: 0.1447 - ETA: 35s - loss: 3.5232 - acc: 0.1448 - ETA: 35s - loss: 3.5250 - acc: 0.1437 - ETA: 35s - loss: 3.5272 - acc: 0.1432 - ETA: 35s - loss: 3.5359 - acc: 0.1416 - ETA: 35s - loss: 3.5425 - acc: 0.1400 - ETA: 35s - loss: 3.5481 - acc: 0.1396 - ETA: 35s - loss: 3.5494 - acc: 0.1397 - ETA: 34s - loss: 3.5514 - acc: 0.1403 - ETA: 34s - loss: 3.5498 - acc: 0.1399 - ETA: 34s - loss: 3.5484 - acc: 0.1400 - ETA: 34s - loss: 3.5522 - acc: 0.1396 - ETA: 34s - loss: 3.5485 - acc: 0.1402 - ETA: 34s - loss: 3.5490 - acc: 0.1388 - ETA: 34s - loss: 3.5505 - acc: 0.1399 - ETA: 33s - loss: 3.5467 - acc: 0.1400 - ETA: 33s - loss: 3.5480 - acc: 0.1391 - ETA: 33s - loss: 3.5468 - acc: 0.1392 - ETA: 33s - loss: 3.5455 - acc: 0.1393 - ETA: 33s - loss: 3.5490 - acc: 0.1385 - ETA: 33s - loss: 3.5468 - acc: 0.1390 - ETA: 32s - loss: 3.5422 - acc: 0.1401 - ETA: 32s - loss: 3.5515 - acc: 0.1402 - ETA: 32s - loss: 3.5474 - acc: 0.1394 - ETA: 32s - loss: 3.5499 - acc: 0.1390 - ETA: 32s - loss: 3.5477 - acc: 0.1391 - ETA: 32s - loss: 3.5508 - acc: 0.1387 - ETA: 32s - loss: 3.5496 - acc: 0.1388 - ETA: 31s - loss: 3.5499 - acc: 0.1389 - ETA: 31s - loss: 3.5532 - acc: 0.1377 - ETA: 31s - loss: 3.5580 - acc: 0.1370 - ETA: 31s - loss: 3.5569 - acc: 0.1375 - ETA: 31s - loss: 3.5618 - acc: 0.1363 - ETA: 31s - loss: 3.5622 - acc: 0.1356 - ETA: 31s - loss: 3.5617 - acc: 0.1349 - ETA: 30s - loss: 3.5609 - acc: 0.1338 - ETA: 30s - loss: 3.5606 - acc: 0.1335 - ETA: 30s - loss: 3.5593 - acc: 0.1328 - ETA: 30s - loss: 3.5600 - acc: 0.1325 - ETA: 30s - loss: 3.5535 - acc: 0.1347 - ETA: 30s - loss: 3.5635 - acc: 0.1340 - ETA: 30s - loss: 3.5720 - acc: 0.1329 - ETA: 29s - loss: 3.5736 - acc: 0.1319 - ETA: 29s - loss: 3.5734 - acc: 0.1324 - ETA: 29s - loss: 3.5742 - acc: 0.1318 - ETA: 29s - loss: 3.5757 - acc: 0.1315 - ETA: 29s - loss: 3.5770 - acc: 0.1309 - ETA: 29s - loss: 3.5742 - acc: 0.1318 - ETA: 28s - loss: 3.5734 - acc: 0.1335 - ETA: 28s - loss: 3.5701 - acc: 0.1336 - ETA: 28s - loss: 3.5710 - acc: 0.1330 - ETA: 28s - loss: 3.5753 - acc: 0.1327 - ETA: 28s - loss: 3.5759 - acc: 0.1325 - ETA: 28s - loss: 3.5763 - acc: 0.1322 - ETA: 28s - loss: 3.5724 - acc: 0.1320 - ETA: 27s - loss: 3.5727 - acc: 0.1321 - ETA: 27s - loss: 3.5715 - acc: 0.1319 - ETA: 27s - loss: 3.5709 - acc: 0.1317 - ETA: 27s - loss: 3.5691 - acc: 0.1325 - ETA: 27s - loss: 3.5707 - acc: 0.1326 - ETA: 27s - loss: 3.5682 - acc: 0.1328 - ETA: 27s - loss: 3.5633 - acc: 0.1339 - ETA: 26s - loss: 3.5626 - acc: 0.1344 - ETA: 26s - loss: 3.5668 - acc: 0.1338 - ETA: 26s - loss: 3.5700 - acc: 0.1336 - ETA: 26s - loss: 3.5713 - acc: 0.1327 - ETA: 26s - loss: 3.5705 - acc: 0.1328 - ETA: 26s - loss: 3.5695 - acc: 0.1336 - ETA: 26s - loss: 3.5692 - acc: 0.1346 - ETA: 25s - loss: 3.5709 - acc: 0.1341 - ETA: 25s - loss: 3.5714 - acc: 0.1335 - ETA: 25s - loss: 3.5677 - acc: 0.1349 - ETA: 25s - loss: 3.5697 - acc: 0.1347 - ETA: 25s - loss: 3.5703 - acc: 0.1348 - ETA: 25s - loss: 3.5697 - acc: 0.1346 - ETA: 25s - loss: 3.5676 - acc: 0.1347 - ETA: 24s - loss: 3.5705 - acc: 0.1342 - ETA: 24s - loss: 3.5723 - acc: 0.1333 - ETA: 24s - loss: 3.5721 - acc: 0.1337 - ETA: 24s - loss: 3.5719 - acc: 0.1332 - ETA: 24s - loss: 3.5720 - acc: 0.1342 - ETA: 24s - loss: 3.5714 - acc: 0.1352 - ETA: 24s - loss: 3.5714 - acc: 0.1347 - ETA: 23s - loss: 3.5730 - acc: 0.1345 - ETA: 23s - loss: 3.5737 - acc: 0.1349 - ETA: 23s - loss: 3.5737 - acc: 0.1350 - ETA: 23s - loss: 3.5764 - acc: 0.1348 - ETA: 23s - loss: 3.5744 - acc: 0.1346 - ETA: 23s - loss: 3.5727 - acc: 0.1344 - ETA: 23s - loss: 3.5722 - acc: 0.1345 - ETA: 22s - loss: 3.5711 - acc: 0.1346 - ETA: 22s - loss: 3.5737 - acc: 0.1341 - ETA: 22s - loss: 3.5745 - acc: 0.1342 - ETA: 22s - loss: 3.5753 - acc: 0.1337 - ETA: 22s - loss: 3.5754 - acc: 0.1338 - ETA: 22s - loss: 3.5767 - acc: 0.1339 - ETA: 22s - loss: 3.5761 - acc: 0.1340 - ETA: 21s - loss: 3.5765 - acc: 0.1335 - ETA: 21s - loss: 3.5760 - acc: 0.1331 - ETA: 21s - loss: 3.5783 - acc: 0.1326 - ETA: 21s - loss: 3.5731 - acc: 0.1341 - ETA: 21s - loss: 3.5739 - acc: 0.1341 - ETA: 21s - loss: 3.5719 - acc: 0.1345 - ETA: 20s - loss: 3.5713 - acc: 0.1346 - ETA: 20s - loss: 3.5708 - acc: 0.1341 - ETA: 20s - loss: 3.5697 - acc: 0.1339 - ETA: 20s - loss: 3.5707 - acc: 0.1338 - ETA: 20s - loss: 3.5706 - acc: 0.1331 - ETA: 20s - loss: 3.5714 - acc: 0.1326 - ETA: 20s - loss: 3.5690 - acc: 0.1332 - ETA: 19s - loss: 3.5678 - acc: 0.1338 - ETA: 19s - loss: 3.5650 - acc: 0.1339 - ETA: 19s - loss: 3.5666 - acc: 0.1332 - ETA: 19s - loss: 3.5642 - acc: 0.1336 - ETA: 19s - loss: 3.5618 - acc: 0.1339 - ETA: 19s - loss: 3.5603 - acc: 0.1350 - ETA: 19s - loss: 3.5603 - acc: 0.1348 - ETA: 18s - loss: 3.5594 - acc: 0.1351 - ETA: 18s - loss: 3.5604 - acc: 0.1345 - ETA: 18s - loss: 3.5592 - acc: 0.1350 - ETA: 18s - loss: 3.5606 - acc: 0.1351 - ETA: 18s - loss: 3.5597 - acc: 0.1350 - ETA: 18s - loss: 3.5599 - acc: 0.1350 - ETA: 18s - loss: 3.5582 - acc: 0.1353 - ETA: 17s - loss: 3.5573 - acc: 0.1354 - ETA: 17s - loss: 3.5562 - acc: 0.1352 - ETA: 17s - loss: 3.5572 - acc: 0.1353 - ETA: 17s - loss: 3.5594 - acc: 0.1354 - ETA: 17s - loss: 3.5602 - acc: 0.1352 - ETA: 17s - loss: 3.5606 - acc: 0.1350 - ETA: 17s - loss: 3.5589 - acc: 0.1347 - ETA: 16s - loss: 3.5574 - acc: 0.1345 - ETA: 16s - loss: 3.5589 - acc: 0.1343 - ETA: 16s - loss: 3.5590 - acc: 0.1346 - ETA: 16s - loss: 3.5590 - acc: 0.1342 - ETA: 16s - loss: 3.5583 - acc: 0.1339 - ETA: 16s - loss: 3.5590 - acc: 0.1339 - ETA: 16s - loss: 3.5600 - acc: 0.1338 - ETA: 15s - loss: 3.5617 - acc: 0.1332 - ETA: 15s - loss: 3.5618 - acc: 0.1333 - ETA: 15s - loss: 3.5628 - acc: 0.1333 - ETA: 15s - loss: 3.5617 - acc: 0.1332 - ETA: 15s - loss: 3.5610 - acc: 0.1330 - ETA: 15s - loss: 3.5590 - acc: 0.1336 - ETA: 15s - loss: 3.5584 - acc: 0.1334 - ETA: 14s - loss: 3.5593 - acc: 0.1330 - ETA: 14s - loss: 3.5595 - acc: 0.1333 - ETA: 14s - loss: 3.5576 - acc: 0.1328 - ETA: 14s - loss: 3.5602 - acc: 0.1326 - ETA: 14s - loss: 3.5598 - acc: 0.1327 - ETA: 14s - loss: 3.5605 - acc: 0.1328 - ETA: 14s - loss: 3.5609 - acc: 0.1328 - ETA: 13s - loss: 3.5618 - acc: 0.1325 - ETA: 13s - loss: 3.5614 - acc: 0.1321 - ETA: 13s - loss: 3.5626 - acc: 0.1320 - ETA: 13s - loss: 3.5621 - acc: 0.1319 - ETA: 13s - loss: 3.5603 - acc: 0.1320 - ETA: 13s - loss: 3.5600 - acc: 0.1318 - ETA: 13s - loss: 3.5603 - acc: 0.1315 - ETA: 12s - loss: 3.5595 - acc: 0.1320 - ETA: 12s - loss: 3.5607 - acc: 0.1316 - ETA: 12s - loss: 3.5600 - acc: 0.1319 - ETA: 12s - loss: 3.5593 - acc: 0.1318 - ETA: 12s - loss: 3.5587 - acc: 0.1321 - ETA: 12s - loss: 3.5583 - acc: 0.1315 - ETA: 12s - loss: 3.5555 - acc: 0.1318 - ETA: 11s - loss: 3.5527 - acc: 0.1321 - ETA: 11s - loss: 3.5526 - acc: 0.1321 - ETA: 11s - loss: 3.5544 - acc: 0.1320 - ETA: 11s - loss: 3.5562 - acc: 0.1319 - ETA: 11s - loss: 3.5565 - acc: 0.1314 - ETA: 11s - loss: 3.5561 - acc: 0.1314 - ETA: 11s - loss: 3.5569 - acc: 0.1311 - ETA: 10s - loss: 3.5581 - acc: 0.1312 - ETA: 10s - loss: 3.5595 - acc: 0.1313 - ETA: 10s - loss: 3.5587 - acc: 0.1313 - ETA: 10s - loss: 3.5591 - acc: 0.1314 - ETA: 10s - loss: 3.5598 - acc: 0.1313 - ETA: 10s - loss: 3.5597 - acc: 0.1314 - ETA: 10s - loss: 3.5580 - acc: 0.1314 - ETA: 9s - loss: 3.5618 - acc: 0.1311 - ETA: 9s - loss: 3.5617 - acc: 0.1314 - ETA: 9s - loss: 3.5620 - acc: 0.1316 - ETA: 9s - loss: 3.5603 - acc: 0.1325 - ETA: 9s - loss: 3.5594 - acc: 0.1322 - ETA: 9s - loss: 3.5599 - acc: 0.1320 - ETA: 9s - loss: 3.5596 - acc: 0.1317 - ETA: 8s - loss: 3.5583 - acc: 0.1318 - ETA: 8s - loss: 3.5589 - acc: 0.1319 - ETA: 8s - loss: 3.5588 - acc: 0.1314 - ETA: 8s - loss: 3.5620 - acc: 0.1311 - ETA: 8s - loss: 3.5664 - acc: 0.1308 - ETA: 8s - loss: 3.5658 - acc: 0.1307 - ETA: 8s - loss: 3.5651 - acc: 0.1302 - ETA: 7s - loss: 3.5659 - acc: 0.1299 - ETA: 7s - loss: 3.5667 - acc: 0.1296 - ETA: 7s - loss: 3.5655 - acc: 0.1301 - ETA: 7s - loss: 3.5657 - acc: 0.1300 - ETA: 7s - loss: 3.5674 - acc: 0.1302 - ETA: 7s - loss: 3.5682 - acc: 0.1299 - ETA: 7s - loss: 3.5677 - acc: 0.1305 - ETA: 6s - loss: 3.5689 - acc: 0.1306 - ETA: 6s - loss: 3.5683 - acc: 0.1312 - ETA: 6s - loss: 3.5709 - acc: 0.1309 - ETA: 6s - loss: 3.5718 - acc: 0.1308 - ETA: 6s - loss: 3.5723 - acc: 0.1309 - ETA: 6s - loss: 3.5725 - acc: 0.1306 - ETA: 6s - loss: 3.5751 - acc: 0.1301 - ETA: 5s - loss: 3.5751 - acc: 0.1299 - ETA: 5s - loss: 3.5769 - acc: 0.1298 - ETA: 5s - loss: 3.5786 - acc: 0.1293 - ETA: 5s - loss: 3.5800 - acc: 0.1291 - ETA: 5s - loss: 3.5787 - acc: 0.1291 - ETA: 5s - loss: 3.5772 - acc: 0.1294 - ETA: 5s - loss: 3.5777 - acc: 0.1291 - ETA: 4s - loss: 3.5763 - acc: 0.1292 - ETA: 4s - loss: 3.5760 - acc: 0.1291 - ETA: 4s - loss: 3.5767 - acc: 0.1288 - ETA: 4s - loss: 3.5759 - acc: 0.1294 - ETA: 4s - loss: 3.5755 - acc: 0.1294 - ETA: 4s - loss: 3.5764 - acc: 0.1293 - ETA: 4s - loss: 3.5765 - acc: 0.1296 - ETA: 3s - loss: 3.5769 - acc: 0.1293 - ETA: 3s - loss: 3.5775 - acc: 0.1292 - ETA: 3s - loss: 3.5757 - acc: 0.1294 - ETA: 3s - loss: 3.5764 - acc: 0.1292 - ETA: 3s - loss: 3.5759 - acc: 0.1289 - ETA: 3s - loss: 3.5755 - acc: 0.1288 - ETA: 3s - loss: 3.5737 - acc: 0.1289 - ETA: 2s - loss: 3.5740 - acc: 0.1291 - ETA: 2s - loss: 3.5768 - acc: 0.1287 - ETA: 2s - loss: 3.5757 - acc: 0.1294 - ETA: 2s - loss: 3.5753 - acc: 0.1295 - ETA: 2s - loss: 3.5744 - acc: 0.1297 - ETA: 2s - loss: 3.5735 - acc: 0.1298 - ETA: 2s - loss: 3.5746 - acc: 0.1297 - ETA: 1s - loss: 3.5734 - acc: 0.1298 - ETA: 1s - loss: 3.5742 - acc: 0.1298 - ETA: 1s - loss: 3.5746 - acc: 0.1296 - ETA: 1s - loss: 3.5746 - acc: 0.1298 - ETA: 1s - loss: 3.5747 - acc: 0.1297 - ETA: 1s - loss: 3.5743 - acc: 0.1298 - ETA: 1s - loss: 3.5752 - acc: 0.1297 - ETA: 0s - loss: 3.5779 - acc: 0.1294 - ETA: 0s - loss: 3.5802 - acc: 0.1295 - ETA: 0s - loss: 3.5795 - acc: 0.1295 - ETA: 0s - loss: 3.5786 - acc: 0.1296 - ETA: 0s - loss: 3.5787 - acc: 0.1297 - ETA: 0s - loss: 3.5776 - acc: 0.1299Epoch 00029: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.5783 - acc: 0.1295 - val_loss: 3.7781 - val_acc: 0.1150 Epoch 31/40 6660/6680 [============================>.] - ETA: 47s - loss: 3.7048 - acc: 0.2000 - ETA: 47s - loss: 3.4759 - acc: 0.1750 - ETA: 47s - loss: 3.5002 - acc: 0.1667 - ETA: 46s - loss: 3.3700 - acc: 0.2000 - ETA: 47s - loss: 3.4199 - acc: 0.1900 - ETA: 46s - loss: 3.3571 - acc: 0.2000 - ETA: 46s - loss: 3.4206 - acc: 0.1929 - ETA: 46s - loss: 3.4908 - acc: 0.1813 - ETA: 46s - loss: 3.4666 - acc: 0.1722 - ETA: 46s - loss: 3.4887 - acc: 0.1650 - ETA: 46s - loss: 3.4904 - acc: 0.1773 - ETA: 46s - loss: 3.4922 - acc: 0.1792 - ETA: 46s - loss: 3.4618 - acc: 0.1846 - ETA: 46s - loss: 3.4867 - acc: 0.1714 - ETA: 45s - loss: 3.5081 - acc: 0.1600 - ETA: 45s - loss: 3.4916 - acc: 0.1594 - ETA: 45s - loss: 3.4714 - acc: 0.1647 - ETA: 45s - loss: 3.4990 - acc: 0.1556 - ETA: 45s - loss: 3.4723 - acc: 0.1526 - ETA: 45s - loss: 3.4608 - acc: 0.1500 - ETA: 44s - loss: 3.4378 - acc: 0.1548 - ETA: 44s - loss: 3.4658 - acc: 0.1500 - ETA: 44s - loss: 3.4665 - acc: 0.1478 - ETA: 44s - loss: 3.4597 - acc: 0.1479 - ETA: 44s - loss: 3.4395 - acc: 0.1520 - ETA: 44s - loss: 3.4434 - acc: 0.1500 - ETA: 44s - loss: 3.4369 - acc: 0.1537 - ETA: 43s - loss: 3.4441 - acc: 0.1571 - ETA: 43s - loss: 3.4621 - acc: 0.1552 - ETA: 43s - loss: 3.4620 - acc: 0.1567 - ETA: 43s - loss: 3.4709 - acc: 0.1548 - ETA: 43s - loss: 3.4672 - acc: 0.1563 - ETA: 43s - loss: 3.4735 - acc: 0.1561 - ETA: 43s - loss: 3.4708 - acc: 0.1559 - ETA: 43s - loss: 3.4718 - acc: 0.1586 - ETA: 43s - loss: 3.4783 - acc: 0.1597 - ETA: 42s - loss: 3.4838 - acc: 0.1581 - ETA: 42s - loss: 3.4876 - acc: 0.1566 - ETA: 42s - loss: 3.4922 - acc: 0.1577 - ETA: 42s - loss: 3.4789 - acc: 0.1613 - ETA: 42s - loss: 3.4803 - acc: 0.1598 - ETA: 42s - loss: 3.4995 - acc: 0.1560 - ETA: 41s - loss: 3.5002 - acc: 0.1558 - ETA: 41s - loss: 3.5138 - acc: 0.1534 - ETA: 41s - loss: 3.5197 - acc: 0.1522 - ETA: 41s - loss: 3.5195 - acc: 0.1554 - ETA: 41s - loss: 3.5168 - acc: 0.1532 - ETA: 41s - loss: 3.5137 - acc: 0.1531 - ETA: 41s - loss: 3.5053 - acc: 0.1561 - ETA: 40s - loss: 3.5140 - acc: 0.1560 - ETA: 40s - loss: 3.5208 - acc: 0.1539 - ETA: 40s - loss: 3.5141 - acc: 0.1529 - ETA: 40s - loss: 3.5183 - acc: 0.1538 - ETA: 40s - loss: 3.5183 - acc: 0.1528 - ETA: 40s - loss: 3.5143 - acc: 0.1536 - ETA: 40s - loss: 3.5118 - acc: 0.1518 - ETA: 39s - loss: 3.5087 - acc: 0.1509 - ETA: 39s - loss: 3.5212 - acc: 0.1509 - ETA: 39s - loss: 3.5184 - acc: 0.1508 - ETA: 39s - loss: 3.5247 - acc: 0.1483 - ETA: 39s - loss: 3.5291 - acc: 0.1459 - ETA: 39s - loss: 3.5282 - acc: 0.1476 - ETA: 38s - loss: 3.5215 - acc: 0.1476 - ETA: 38s - loss: 3.5199 - acc: 0.1469 - ETA: 38s - loss: 3.5198 - acc: 0.1485 - ETA: 38s - loss: 3.5212 - acc: 0.1477 - ETA: 38s - loss: 3.5327 - acc: 0.1470 - ETA: 38s - loss: 3.5322 - acc: 0.1456 - ETA: 38s - loss: 3.5363 - acc: 0.1457 - ETA: 37s - loss: 3.5311 - acc: 0.1471 - ETA: 37s - loss: 3.5263 - acc: 0.1486 - ETA: 37s - loss: 3.5213 - acc: 0.1493 - ETA: 37s - loss: 3.5218 - acc: 0.1479 - ETA: 37s - loss: 3.5224 - acc: 0.1480 - ETA: 37s - loss: 3.5210 - acc: 0.1467 - ETA: 37s - loss: 3.5329 - acc: 0.1461 - ETA: 36s - loss: 3.5418 - acc: 0.1448 - ETA: 36s - loss: 3.5457 - acc: 0.1436 - ETA: 36s - loss: 3.5516 - acc: 0.1430 - ETA: 36s - loss: 3.5552 - acc: 0.1431 - ETA: 36s - loss: 3.5536 - acc: 0.1432 - ETA: 36s - loss: 3.5522 - acc: 0.1421 - ETA: 36s - loss: 3.5519 - acc: 0.1422 - ETA: 35s - loss: 3.5512 - acc: 0.1417 - ETA: 35s - loss: 3.5504 - acc: 0.1412 - ETA: 35s - loss: 3.5507 - acc: 0.1413 - ETA: 35s - loss: 3.5502 - acc: 0.1414 - ETA: 35s - loss: 3.5471 - acc: 0.1438 - ETA: 35s - loss: 3.5442 - acc: 0.1433 - ETA: 35s - loss: 3.5449 - acc: 0.1433 - ETA: 34s - loss: 3.5455 - acc: 0.1423 - ETA: 34s - loss: 3.5455 - acc: 0.1424 - ETA: 34s - loss: 3.5451 - acc: 0.1419 - ETA: 34s - loss: 3.5459 - acc: 0.1415 - ETA: 34s - loss: 3.5442 - acc: 0.1405 - ETA: 34s - loss: 3.5361 - acc: 0.1427 - ETA: 34s - loss: 3.5397 - acc: 0.1423 - ETA: 34s - loss: 3.5377 - acc: 0.1429 - ETA: 33s - loss: 3.5338 - acc: 0.1434 - ETA: 33s - loss: 3.5310 - acc: 0.1425 - ETA: 33s - loss: 3.5441 - acc: 0.1411 - ETA: 33s - loss: 3.5466 - acc: 0.1417 - ETA: 33s - loss: 3.5434 - acc: 0.1413 - ETA: 33s - loss: 3.5440 - acc: 0.1399 - ETA: 33s - loss: 3.5410 - acc: 0.1410 - ETA: 32s - loss: 3.5457 - acc: 0.1401 - ETA: 32s - loss: 3.5439 - acc: 0.1388 - ETA: 32s - loss: 3.5441 - acc: 0.1394 - ETA: 32s - loss: 3.5462 - acc: 0.1390 - ETA: 32s - loss: 3.5488 - acc: 0.1386 - ETA: 32s - loss: 3.5501 - acc: 0.1387 - ETA: 32s - loss: 3.5483 - acc: 0.1393 - ETA: 31s - loss: 3.5520 - acc: 0.1398 - ETA: 31s - loss: 3.5530 - acc: 0.1390 - ETA: 31s - loss: 3.5537 - acc: 0.1383 - ETA: 31s - loss: 3.5594 - acc: 0.1379 - ETA: 31s - loss: 3.5567 - acc: 0.1380 - ETA: 31s - loss: 3.5584 - acc: 0.1377 - ETA: 30s - loss: 3.5585 - acc: 0.1382 - ETA: 30s - loss: 3.5572 - acc: 0.1383 - ETA: 30s - loss: 3.5542 - acc: 0.1388 - ETA: 30s - loss: 3.5554 - acc: 0.1381 - ETA: 30s - loss: 3.5543 - acc: 0.1370 - ETA: 30s - loss: 3.5563 - acc: 0.1375 - ETA: 30s - loss: 3.5569 - acc: 0.1372 - ETA: 29s - loss: 3.5565 - acc: 0.1373 - ETA: 29s - loss: 3.5547 - acc: 0.1378 - ETA: 29s - loss: 3.5523 - acc: 0.1375 - ETA: 29s - loss: 3.5549 - acc: 0.1368 - ETA: 29s - loss: 3.5529 - acc: 0.1365 - ETA: 29s - loss: 3.5507 - acc: 0.1363 - ETA: 29s - loss: 3.5493 - acc: 0.1364 - ETA: 28s - loss: 3.5495 - acc: 0.1365 - ETA: 28s - loss: 3.5492 - acc: 0.1377 - ETA: 28s - loss: 3.5484 - acc: 0.1381 - ETA: 28s - loss: 3.5481 - acc: 0.1382 - ETA: 28s - loss: 3.5558 - acc: 0.1376 - ETA: 28s - loss: 3.5550 - acc: 0.1370 - ETA: 28s - loss: 3.5572 - acc: 0.1374 - ETA: 27s - loss: 3.5575 - acc: 0.1371 - ETA: 27s - loss: 3.5550 - acc: 0.1394 - ETA: 27s - loss: 3.5529 - acc: 0.1401 - ETA: 27s - loss: 3.5490 - acc: 0.1413 - ETA: 27s - loss: 3.5471 - acc: 0.1413 - ETA: 27s - loss: 3.5487 - acc: 0.1410 - ETA: 27s - loss: 3.5459 - acc: 0.1414 - ETA: 26s - loss: 3.5487 - acc: 0.1408 - ETA: 26s - loss: 3.5506 - acc: 0.1399 - ETA: 26s - loss: 3.5515 - acc: 0.1399 - ETA: 26s - loss: 3.5503 - acc: 0.1397 - ETA: 26s - loss: 3.5502 - acc: 0.1401 - ETA: 26s - loss: 3.5481 - acc: 0.1398 - ETA: 26s - loss: 3.5554 - acc: 0.1389 - ETA: 25s - loss: 3.5581 - acc: 0.1390 - ETA: 25s - loss: 3.5591 - acc: 0.1387 - ETA: 25s - loss: 3.5595 - acc: 0.1388 - ETA: 25s - loss: 3.5589 - acc: 0.1392 - ETA: 25s - loss: 3.5573 - acc: 0.1402 - ETA: 25s - loss: 3.5552 - acc: 0.1403 - ETA: 25s - loss: 3.5549 - acc: 0.1403 - ETA: 24s - loss: 3.5562 - acc: 0.1401 - ETA: 24s - loss: 3.5559 - acc: 0.1404 - ETA: 24s - loss: 3.5523 - acc: 0.1411 - ETA: 24s - loss: 3.5542 - acc: 0.1412 - ETA: 24s - loss: 3.5514 - acc: 0.1418 - ETA: 24s - loss: 3.5517 - acc: 0.1419 - ETA: 24s - loss: 3.5527 - acc: 0.1413 - ETA: 23s - loss: 3.5527 - acc: 0.1405 - ETA: 23s - loss: 3.5531 - acc: 0.1402 - ETA: 23s - loss: 3.5519 - acc: 0.1400 - ETA: 23s - loss: 3.5534 - acc: 0.1392 - ETA: 23s - loss: 3.5506 - acc: 0.1398 - ETA: 23s - loss: 3.5507 - acc: 0.1399 - ETA: 23s - loss: 3.5510 - acc: 0.1399 - ETA: 22s - loss: 3.5475 - acc: 0.1406 - ETA: 22s - loss: 3.5466 - acc: 0.1409 - ETA: 22s - loss: 3.5462 - acc: 0.1407 - ETA: 22s - loss: 3.5476 - acc: 0.1402 - ETA: 22s - loss: 3.5489 - acc: 0.1399 - ETA: 22s - loss: 3.5473 - acc: 0.1400 - ETA: 22s - loss: 3.5433 - acc: 0.1403 - ETA: 21s - loss: 3.5460 - acc: 0.1407 - ETA: 21s - loss: 3.5456 - acc: 0.1407 - ETA: 21s - loss: 3.5458 - acc: 0.1408 - ETA: 21s - loss: 3.5431 - acc: 0.1411 - ETA: 21s - loss: 3.5435 - acc: 0.1409 - ETA: 21s - loss: 3.5465 - acc: 0.1409 - ETA: 21s - loss: 3.5463 - acc: 0.1407 - ETA: 20s - loss: 3.5461 - acc: 0.1413 - ETA: 20s - loss: 3.5460 - acc: 0.1408 - ETA: 20s - loss: 3.5446 - acc: 0.1411 - ETA: 20s - loss: 3.5465 - acc: 0.1411 - ETA: 20s - loss: 3.5435 - acc: 0.1420 - ETA: 20s - loss: 3.5423 - acc: 0.1425 - ETA: 20s - loss: 3.5406 - acc: 0.1428 - ETA: 19s - loss: 3.5422 - acc: 0.1426 - ETA: 19s - loss: 3.5427 - acc: 0.1424 - ETA: 19s - loss: 3.5430 - acc: 0.1429 - ETA: 19s - loss: 3.5408 - acc: 0.1432 - ETA: 19s - loss: 3.5422 - acc: 0.1433 - ETA: 19s - loss: 3.5488 - acc: 0.1425 - ETA: 19s - loss: 3.5538 - acc: 0.1418 - ETA: 18s - loss: 3.5568 - acc: 0.1411 - ETA: 18s - loss: 3.5565 - acc: 0.1412 - ETA: 18s - loss: 3.5564 - acc: 0.1415 - ETA: 18s - loss: 3.5552 - acc: 0.1415 - ETA: 18s - loss: 3.5534 - acc: 0.1415 - ETA: 18s - loss: 3.5510 - acc: 0.1421 - ETA: 18s - loss: 3.5512 - acc: 0.1421 - ETA: 17s - loss: 3.5502 - acc: 0.1424 - ETA: 17s - loss: 3.5505 - acc: 0.1422 - ETA: 17s - loss: 3.5511 - acc: 0.1420 - ETA: 17s - loss: 3.5519 - acc: 0.1415 - ETA: 17s - loss: 3.5516 - acc: 0.1421 - ETA: 17s - loss: 3.5525 - acc: 0.1416 - ETA: 17s - loss: 3.5492 - acc: 0.1417 - ETA: 16s - loss: 3.5469 - acc: 0.1419 - ETA: 16s - loss: 3.5464 - acc: 0.1422 - ETA: 16s - loss: 3.5485 - acc: 0.1420 - ETA: 16s - loss: 3.5516 - acc: 0.1418 - ETA: 16s - loss: 3.5501 - acc: 0.1419 - ETA: 16s - loss: 3.5504 - acc: 0.1419 - ETA: 16s - loss: 3.5509 - acc: 0.1417 - ETA: 15s - loss: 3.5493 - acc: 0.1424 - ETA: 15s - loss: 3.5509 - acc: 0.1420 - ETA: 15s - loss: 3.5522 - acc: 0.1420 - ETA: 15s - loss: 3.5523 - acc: 0.1423 - ETA: 15s - loss: 3.5497 - acc: 0.1425 - ETA: 15s - loss: 3.5503 - acc: 0.1421 - ETA: 15s - loss: 3.5494 - acc: 0.1428 - ETA: 14s - loss: 3.5529 - acc: 0.1424 - ETA: 14s - loss: 3.5516 - acc: 0.1429 - ETA: 14s - loss: 3.5501 - acc: 0.1431 - ETA: 14s - loss: 3.5505 - acc: 0.1432 - ETA: 14s - loss: 3.5489 - acc: 0.1430 - ETA: 14s - loss: 3.5482 - acc: 0.1432 - ETA: 13s - loss: 3.5486 - acc: 0.1439 - ETA: 13s - loss: 3.5485 - acc: 0.1435 - ETA: 13s - loss: 3.5492 - acc: 0.1435 - ETA: 13s - loss: 3.5490 - acc: 0.1431 - ETA: 13s - loss: 3.5499 - acc: 0.1429 - ETA: 13s - loss: 3.5476 - acc: 0.1428 - ETA: 13s - loss: 3.5467 - acc: 0.1428 - ETA: 12s - loss: 3.5462 - acc: 0.1426 - ETA: 12s - loss: 3.5449 - acc: 0.1422 - ETA: 12s - loss: 3.5452 - acc: 0.1425 - ETA: 12s - loss: 3.5425 - acc: 0.1427 - ETA: 12s - loss: 3.5438 - acc: 0.1425 - ETA: 12s - loss: 3.5459 - acc: 0.1422 - ETA: 12s - loss: 3.5434 - acc: 0.1430 - ETA: 11s - loss: 3.5445 - acc: 0.1426 - ETA: 11s - loss: 3.5462 - acc: 0.1423 - ETA: 11s - loss: 3.5464 - acc: 0.1421 - ETA: 11s - loss: 3.5464 - acc: 0.1419 - ETA: 11s - loss: 3.5454 - acc: 0.1418 - ETA: 11s - loss: 3.5445 - acc: 0.1414 - ETA: 11s - loss: 3.5450 - acc: 0.1412 - ETA: 10s - loss: 3.5442 - acc: 0.1417 - ETA: 10s - loss: 3.5439 - acc: 0.1417 - ETA: 10s - loss: 3.5430 - acc: 0.1417 - ETA: 10s - loss: 3.5446 - acc: 0.1412 - ETA: 10s - loss: 3.5446 - acc: 0.1408 - ETA: 10s - loss: 3.5434 - acc: 0.1411 - ETA: 10s - loss: 3.5428 - acc: 0.1411 - ETA: 9s - loss: 3.5428 - acc: 0.1417 - ETA: 9s - loss: 3.5442 - acc: 0.1415 - ETA: 9s - loss: 3.5452 - acc: 0.1416 - ETA: 9s - loss: 3.5427 - acc: 0.1422 - ETA: 9s - loss: 3.5437 - acc: 0.1420 - ETA: 9s - loss: 3.5458 - acc: 0.1420 - ETA: 9s - loss: 3.5460 - acc: 0.1419 - ETA: 8s - loss: 3.5467 - acc: 0.1421 - ETA: 8s - loss: 3.5462 - acc: 0.1419 - ETA: 8s - loss: 3.5453 - acc: 0.1422 - ETA: 8s - loss: 3.5444 - acc: 0.1422 - ETA: 8s - loss: 3.5431 - acc: 0.1426 - ETA: 8s - loss: 3.5450 - acc: 0.1422 - ETA: 8s - loss: 3.5459 - acc: 0.1419 - ETA: 7s - loss: 3.5465 - acc: 0.1416 - ETA: 7s - loss: 3.5466 - acc: 0.1411 - ETA: 7s - loss: 3.5464 - acc: 0.1409 - ETA: 7s - loss: 3.5452 - acc: 0.1411 - ETA: 7s - loss: 3.5438 - acc: 0.1412 - ETA: 7s - loss: 3.5433 - acc: 0.1410 - ETA: 7s - loss: 3.5446 - acc: 0.1414 - ETA: 6s - loss: 3.5450 - acc: 0.1411 - ETA: 6s - loss: 3.5467 - acc: 0.1406 - ETA: 6s - loss: 3.5463 - acc: 0.1406 - ETA: 6s - loss: 3.5463 - acc: 0.1405 - ETA: 6s - loss: 3.5459 - acc: 0.1403 - ETA: 6s - loss: 3.5460 - acc: 0.1404 - ETA: 6s - loss: 3.5467 - acc: 0.1406 - ETA: 5s - loss: 3.5473 - acc: 0.1406 - ETA: 5s - loss: 3.5473 - acc: 0.1408 - ETA: 5s - loss: 3.5474 - acc: 0.1408 - ETA: 5s - loss: 3.5484 - acc: 0.1409 - ETA: 5s - loss: 3.5488 - acc: 0.1406 - ETA: 5s - loss: 3.5491 - acc: 0.1403 - ETA: 5s - loss: 3.5501 - acc: 0.1403 - ETA: 4s - loss: 3.5499 - acc: 0.1402 - ETA: 4s - loss: 3.5492 - acc: 0.1402 - ETA: 4s - loss: 3.5473 - acc: 0.1402 - ETA: 4s - loss: 3.5481 - acc: 0.1403 - ETA: 4s - loss: 3.5472 - acc: 0.1400 - ETA: 4s - loss: 3.5469 - acc: 0.1398 - ETA: 4s - loss: 3.5453 - acc: 0.1400 - ETA: 3s - loss: 3.5448 - acc: 0.1401 - ETA: 3s - loss: 3.5441 - acc: 0.1398 - ETA: 3s - loss: 3.5423 - acc: 0.1403 - ETA: 3s - loss: 3.5427 - acc: 0.1402 - ETA: 3s - loss: 3.5431 - acc: 0.1400 - ETA: 3s - loss: 3.5429 - acc: 0.1401 - ETA: 3s - loss: 3.5437 - acc: 0.1401 - ETA: 2s - loss: 3.5447 - acc: 0.1398 - ETA: 2s - loss: 3.5457 - acc: 0.1394 - ETA: 2s - loss: 3.5448 - acc: 0.1396 - ETA: 2s - loss: 3.5447 - acc: 0.1399 - ETA: 2s - loss: 3.5449 - acc: 0.1396 - ETA: 2s - loss: 3.5454 - acc: 0.1393 - ETA: 2s - loss: 3.5429 - acc: 0.1392 - ETA: 1s - loss: 3.5420 - acc: 0.1391 - ETA: 1s - loss: 3.5398 - acc: 0.1393 - ETA: 1s - loss: 3.5396 - acc: 0.1395 - ETA: 1s - loss: 3.5404 - acc: 0.1392 - ETA: 1s - loss: 3.5388 - acc: 0.1397 - ETA: 1s - loss: 3.5374 - acc: 0.1397 - ETA: 1s - loss: 3.5380 - acc: 0.1398 - ETA: 0s - loss: 3.5397 - acc: 0.1393 - ETA: 0s - loss: 3.5405 - acc: 0.1392 - ETA: 0s - loss: 3.5387 - acc: 0.1394 - ETA: 0s - loss: 3.5379 - acc: 0.1397 - ETA: 0s - loss: 3.5379 - acc: 0.1396 - ETA: 0s - loss: 3.5377 - acc: 0.1393Epoch 00030: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.5394 - acc: 0.1389 - val_loss: 3.7652 - val_acc: 0.1293 Epoch 32/40 6660/6680 [============================>.] - ETA: 48s - loss: 3.6386 - acc: 0.1500 - ETA: 48s - loss: 3.6035 - acc: 0.1250 - ETA: 48s - loss: 3.4742 - acc: 0.1333 - ETA: 47s - loss: 3.4226 - acc: 0.1125 - ETA: 47s - loss: 3.4342 - acc: 0.1200 - ETA: 47s - loss: 3.4786 - acc: 0.1333 - ETA: 47s - loss: 3.4213 - acc: 0.1214 - ETA: 46s - loss: 3.4063 - acc: 0.1188 - ETA: 46s - loss: 3.3883 - acc: 0.1389 - ETA: 46s - loss: 3.3686 - acc: 0.1350 - ETA: 46s - loss: 3.3632 - acc: 0.1364 - ETA: 46s - loss: 3.3519 - acc: 0.1375 - ETA: 45s - loss: 3.3229 - acc: 0.1500 - ETA: 46s - loss: 3.3371 - acc: 0.1464 - ETA: 45s - loss: 3.3759 - acc: 0.1433 - ETA: 45s - loss: 3.3559 - acc: 0.1500 - ETA: 45s - loss: 3.3537 - acc: 0.1529 - ETA: 45s - loss: 3.3049 - acc: 0.1611 - ETA: 44s - loss: 3.3196 - acc: 0.1658 - ETA: 44s - loss: 3.3277 - acc: 0.1575 - ETA: 44s - loss: 3.3321 - acc: 0.1548 - ETA: 44s - loss: 3.3271 - acc: 0.1568 - ETA: 44s - loss: 3.3130 - acc: 0.1652 - ETA: 44s - loss: 3.3374 - acc: 0.1646 - ETA: 44s - loss: 3.3474 - acc: 0.1660 - ETA: 44s - loss: 3.3702 - acc: 0.1615 - ETA: 43s - loss: 3.3755 - acc: 0.1611 - ETA: 43s - loss: 3.3674 - acc: 0.1625 - ETA: 43s - loss: 3.3663 - acc: 0.1586 - ETA: 43s - loss: 3.3544 - acc: 0.1633 - ETA: 43s - loss: 3.3311 - acc: 0.1694 - ETA: 43s - loss: 3.3351 - acc: 0.1656 - ETA: 43s - loss: 3.3516 - acc: 0.1606 - ETA: 43s - loss: 3.3472 - acc: 0.1632 - ETA: 42s - loss: 3.3542 - acc: 0.1629 - ETA: 42s - loss: 3.3457 - acc: 0.1681 - ETA: 42s - loss: 3.3518 - acc: 0.1676 - ETA: 42s - loss: 3.3511 - acc: 0.1684 - ETA: 42s - loss: 3.3360 - acc: 0.1692 - ETA: 42s - loss: 3.3394 - acc: 0.1675 - ETA: 42s - loss: 3.3412 - acc: 0.1683 - ETA: 41s - loss: 3.3400 - acc: 0.1679 - ETA: 41s - loss: 3.3589 - acc: 0.1651 - ETA: 41s - loss: 3.3731 - acc: 0.1670 - ETA: 41s - loss: 3.3701 - acc: 0.1667 - ETA: 41s - loss: 3.3793 - acc: 0.1630 - ETA: 41s - loss: 3.3771 - acc: 0.1628 - ETA: 41s - loss: 3.3821 - acc: 0.1604 - ETA: 41s - loss: 3.3931 - acc: 0.1612 - ETA: 40s - loss: 3.3962 - acc: 0.1620 - ETA: 40s - loss: 3.3922 - acc: 0.1618 - ETA: 40s - loss: 3.4040 - acc: 0.1587 - ETA: 40s - loss: 3.4007 - acc: 0.1594 - ETA: 40s - loss: 3.4009 - acc: 0.1630 - ETA: 40s - loss: 3.4042 - acc: 0.1636 - ETA: 40s - loss: 3.4110 - acc: 0.1634 - ETA: 39s - loss: 3.4217 - acc: 0.1605 - ETA: 39s - loss: 3.4208 - acc: 0.1612 - ETA: 39s - loss: 3.4155 - acc: 0.1627 - ETA: 39s - loss: 3.4137 - acc: 0.1625 - ETA: 39s - loss: 3.4213 - acc: 0.1623 - ETA: 39s - loss: 3.4265 - acc: 0.1621 - ETA: 39s - loss: 3.4216 - acc: 0.1619 - ETA: 38s - loss: 3.4242 - acc: 0.1641 - ETA: 38s - loss: 3.4179 - acc: 0.1646 - ETA: 38s - loss: 3.4206 - acc: 0.1644 - ETA: 38s - loss: 3.4287 - acc: 0.1627 - ETA: 38s - loss: 3.4297 - acc: 0.1618 - ETA: 38s - loss: 3.4341 - acc: 0.1616 - ETA: 38s - loss: 3.4344 - acc: 0.1614 - ETA: 37s - loss: 3.4413 - acc: 0.1620 - ETA: 37s - loss: 3.4411 - acc: 0.1604 - ETA: 37s - loss: 3.4366 - acc: 0.1596 - ETA: 37s - loss: 3.4315 - acc: 0.1595 - ETA: 37s - loss: 3.4420 - acc: 0.1580 - ETA: 37s - loss: 3.4416 - acc: 0.1605 - ETA: 36s - loss: 3.4416 - acc: 0.1617 - ETA: 36s - loss: 3.4443 - acc: 0.1622 - ETA: 36s - loss: 3.4474 - acc: 0.1639 - ETA: 36s - loss: 3.4477 - acc: 0.1631 - ETA: 36s - loss: 3.4445 - acc: 0.1623 - ETA: 36s - loss: 3.4448 - acc: 0.1610 - ETA: 36s - loss: 3.4490 - acc: 0.1614 - ETA: 36s - loss: 3.4494 - acc: 0.1625 - ETA: 35s - loss: 3.4523 - acc: 0.1618 - ETA: 35s - loss: 3.4515 - acc: 0.1605 - ETA: 35s - loss: 3.4518 - acc: 0.1598 - ETA: 35s - loss: 3.4458 - acc: 0.1602 - ETA: 35s - loss: 3.4361 - acc: 0.1607 - ETA: 35s - loss: 3.4363 - acc: 0.1600 - ETA: 35s - loss: 3.4360 - acc: 0.1610 - ETA: 34s - loss: 3.4384 - acc: 0.1609 - ETA: 34s - loss: 3.4350 - acc: 0.1629 - ETA: 34s - loss: 3.4356 - acc: 0.1617 - ETA: 34s - loss: 3.4380 - acc: 0.1611 - ETA: 34s - loss: 3.4372 - acc: 0.1615 - ETA: 34s - loss: 3.4401 - acc: 0.1613 - ETA: 34s - loss: 3.4481 - acc: 0.1597 - ETA: 33s - loss: 3.4436 - acc: 0.1601 - ETA: 33s - loss: 3.4424 - acc: 0.1595 - ETA: 33s - loss: 3.4370 - acc: 0.1599 - ETA: 33s - loss: 3.4396 - acc: 0.1583 - ETA: 33s - loss: 3.4350 - acc: 0.1592 - ETA: 33s - loss: 3.4384 - acc: 0.1587 - ETA: 32s - loss: 3.4372 - acc: 0.1595 - ETA: 32s - loss: 3.4369 - acc: 0.1599 - ETA: 32s - loss: 3.4360 - acc: 0.1584 - ETA: 32s - loss: 3.4353 - acc: 0.1579 - ETA: 32s - loss: 3.4391 - acc: 0.1573 - ETA: 32s - loss: 3.4393 - acc: 0.1573 - ETA: 32s - loss: 3.4391 - acc: 0.1568 - ETA: 31s - loss: 3.4397 - acc: 0.1567 - ETA: 31s - loss: 3.4437 - acc: 0.1562 - ETA: 31s - loss: 3.4446 - acc: 0.1561 - ETA: 31s - loss: 3.4452 - acc: 0.1557 - ETA: 31s - loss: 3.4439 - acc: 0.1565 - ETA: 31s - loss: 3.4404 - acc: 0.1573 - ETA: 31s - loss: 3.4394 - acc: 0.1581 - ETA: 30s - loss: 3.4378 - acc: 0.1576 - ETA: 30s - loss: 3.4404 - acc: 0.1567 - ETA: 30s - loss: 3.4428 - acc: 0.1562 - ETA: 30s - loss: 3.4425 - acc: 0.1557 - ETA: 30s - loss: 3.4432 - acc: 0.1561 - ETA: 30s - loss: 3.4415 - acc: 0.1556 - ETA: 30s - loss: 3.4450 - acc: 0.1552 - ETA: 29s - loss: 3.4419 - acc: 0.1548 - ETA: 29s - loss: 3.4471 - acc: 0.1539 - ETA: 29s - loss: 3.4496 - acc: 0.1535 - ETA: 29s - loss: 3.4536 - acc: 0.1527 - ETA: 29s - loss: 3.4541 - acc: 0.1527 - ETA: 29s - loss: 3.4519 - acc: 0.1531 - ETA: 29s - loss: 3.4526 - acc: 0.1523 - ETA: 28s - loss: 3.4517 - acc: 0.1523 - ETA: 28s - loss: 3.4525 - acc: 0.1515 - ETA: 28s - loss: 3.4549 - acc: 0.1507 - ETA: 28s - loss: 3.4579 - acc: 0.1507 - ETA: 28s - loss: 3.4616 - acc: 0.1500 - ETA: 28s - loss: 3.4623 - acc: 0.1496 - ETA: 28s - loss: 3.4651 - acc: 0.1507 - ETA: 27s - loss: 3.4642 - acc: 0.1514 - ETA: 27s - loss: 3.4635 - acc: 0.1514 - ETA: 27s - loss: 3.4667 - acc: 0.1518 - ETA: 27s - loss: 3.4692 - acc: 0.1514 - ETA: 27s - loss: 3.4674 - acc: 0.1517 - ETA: 27s - loss: 3.4653 - acc: 0.1524 - ETA: 27s - loss: 3.4658 - acc: 0.1524 - ETA: 26s - loss: 3.4684 - acc: 0.1520 - ETA: 26s - loss: 3.4704 - acc: 0.1520 - ETA: 26s - loss: 3.4714 - acc: 0.1523 - ETA: 26s - loss: 3.4695 - acc: 0.1527 - ETA: 26s - loss: 3.4695 - acc: 0.1526 - ETA: 26s - loss: 3.4664 - acc: 0.1533 - ETA: 26s - loss: 3.4668 - acc: 0.1533 - ETA: 25s - loss: 3.4695 - acc: 0.1529 - ETA: 25s - loss: 3.4676 - acc: 0.1532 - ETA: 25s - loss: 3.4679 - acc: 0.1542 - ETA: 25s - loss: 3.4661 - acc: 0.1545 - ETA: 25s - loss: 3.4646 - acc: 0.1547 - ETA: 25s - loss: 3.4667 - acc: 0.1547 - ETA: 25s - loss: 3.4674 - acc: 0.1547 - ETA: 24s - loss: 3.4646 - acc: 0.1550 - ETA: 24s - loss: 3.4629 - acc: 0.1552 - ETA: 24s - loss: 3.4632 - acc: 0.1555 - ETA: 24s - loss: 3.4636 - acc: 0.1555 - ETA: 24s - loss: 3.4655 - acc: 0.1552 - ETA: 24s - loss: 3.4639 - acc: 0.1557 - ETA: 24s - loss: 3.4644 - acc: 0.1557 - ETA: 23s - loss: 3.4642 - acc: 0.1554 - ETA: 23s - loss: 3.4666 - acc: 0.1547 - ETA: 23s - loss: 3.4670 - acc: 0.1541 - ETA: 23s - loss: 3.4661 - acc: 0.1541 - ETA: 23s - loss: 3.4665 - acc: 0.1538 - ETA: 23s - loss: 3.4635 - acc: 0.1535 - ETA: 23s - loss: 3.4614 - acc: 0.1532 - ETA: 22s - loss: 3.4585 - acc: 0.1531 - ETA: 22s - loss: 3.4605 - acc: 0.1528 - ETA: 22s - loss: 3.4621 - acc: 0.1525 - ETA: 22s - loss: 3.4615 - acc: 0.1531 - ETA: 22s - loss: 3.4598 - acc: 0.1536 - ETA: 22s - loss: 3.4582 - acc: 0.1539 - ETA: 22s - loss: 3.4561 - acc: 0.1544 - ETA: 21s - loss: 3.4589 - acc: 0.1538 - ETA: 21s - loss: 3.4568 - acc: 0.1541 - ETA: 21s - loss: 3.4575 - acc: 0.1538 - ETA: 21s - loss: 3.4584 - acc: 0.1541 - ETA: 21s - loss: 3.4587 - acc: 0.1535 - ETA: 21s - loss: 3.4584 - acc: 0.1532 - ETA: 20s - loss: 3.4592 - acc: 0.1524 - ETA: 20s - loss: 3.4605 - acc: 0.1521 - ETA: 20s - loss: 3.4599 - acc: 0.1521 - ETA: 20s - loss: 3.4599 - acc: 0.1521 - ETA: 20s - loss: 3.4618 - acc: 0.1516 - ETA: 20s - loss: 3.4640 - acc: 0.1526 - ETA: 20s - loss: 3.4632 - acc: 0.1526 - ETA: 19s - loss: 3.4639 - acc: 0.1526 - ETA: 19s - loss: 3.4630 - acc: 0.1526 - ETA: 19s - loss: 3.4649 - acc: 0.1523 - ETA: 19s - loss: 3.4657 - acc: 0.1520 - ETA: 19s - loss: 3.4680 - acc: 0.1515 - ETA: 19s - loss: 3.4655 - acc: 0.1515 - ETA: 19s - loss: 3.4627 - acc: 0.1512 - ETA: 18s - loss: 3.4607 - acc: 0.1512 - ETA: 18s - loss: 3.4605 - acc: 0.1512 - ETA: 18s - loss: 3.4643 - acc: 0.1510 - ETA: 18s - loss: 3.4650 - acc: 0.1510 - ETA: 18s - loss: 3.4651 - acc: 0.1507 - ETA: 18s - loss: 3.4636 - acc: 0.1507 - ETA: 18s - loss: 3.4644 - acc: 0.1502 - ETA: 17s - loss: 3.4656 - acc: 0.1500 - ETA: 17s - loss: 3.4657 - acc: 0.1498 - ETA: 17s - loss: 3.4673 - acc: 0.1495 - ETA: 17s - loss: 3.4690 - acc: 0.1500 - ETA: 17s - loss: 3.4673 - acc: 0.1502 - ETA: 17s - loss: 3.4682 - acc: 0.1505 - ETA: 17s - loss: 3.4668 - acc: 0.1507 - ETA: 16s - loss: 3.4680 - acc: 0.1502 - ETA: 16s - loss: 3.4707 - acc: 0.1502 - ETA: 16s - loss: 3.4714 - acc: 0.1498 - ETA: 16s - loss: 3.4711 - acc: 0.1502 - ETA: 16s - loss: 3.4725 - acc: 0.1502 - ETA: 16s - loss: 3.4745 - acc: 0.1498 - ETA: 16s - loss: 3.4749 - acc: 0.1498 - ETA: 15s - loss: 3.4717 - acc: 0.1509 - ETA: 15s - loss: 3.4711 - acc: 0.1504 - ETA: 15s - loss: 3.4710 - acc: 0.1507 - ETA: 15s - loss: 3.4698 - acc: 0.1504 - ETA: 15s - loss: 3.4683 - acc: 0.1504 - ETA: 15s - loss: 3.4691 - acc: 0.1500 - ETA: 15s - loss: 3.4699 - acc: 0.1493 - ETA: 14s - loss: 3.4676 - acc: 0.1496 - ETA: 14s - loss: 3.4673 - acc: 0.1496 - ETA: 14s - loss: 3.4646 - acc: 0.1502 - ETA: 14s - loss: 3.4651 - acc: 0.1504 - ETA: 14s - loss: 3.4643 - acc: 0.1504 - ETA: 14s - loss: 3.4655 - acc: 0.1502 - ETA: 14s - loss: 3.4667 - acc: 0.1502 - ETA: 13s - loss: 3.4686 - acc: 0.1498 - ETA: 13s - loss: 3.4694 - acc: 0.1500 - ETA: 13s - loss: 3.4688 - acc: 0.1502 - ETA: 13s - loss: 3.4693 - acc: 0.1500 - ETA: 13s - loss: 3.4702 - acc: 0.1496 - ETA: 13s - loss: 3.4685 - acc: 0.1498 - ETA: 13s - loss: 3.4661 - acc: 0.1506 - ETA: 12s - loss: 3.4666 - acc: 0.1508 - ETA: 12s - loss: 3.4667 - acc: 0.1508 - ETA: 12s - loss: 3.4667 - acc: 0.1508 - ETA: 12s - loss: 3.4660 - acc: 0.1512 - ETA: 12s - loss: 3.4650 - acc: 0.1516 - ETA: 12s - loss: 3.4671 - acc: 0.1514 - ETA: 12s - loss: 3.4682 - acc: 0.1512 - ETA: 11s - loss: 3.4697 - acc: 0.1510 - ETA: 11s - loss: 3.4681 - acc: 0.1514 - ETA: 11s - loss: 3.4719 - acc: 0.1512 - ETA: 11s - loss: 3.4721 - acc: 0.1510 - ETA: 11s - loss: 3.4736 - acc: 0.1506 - ETA: 11s - loss: 3.4740 - acc: 0.1508 - ETA: 11s - loss: 3.4750 - acc: 0.1506 - ETA: 10s - loss: 3.4761 - acc: 0.1504 - ETA: 10s - loss: 3.4769 - acc: 0.1504 - ETA: 10s - loss: 3.4771 - acc: 0.1502 - ETA: 10s - loss: 3.4764 - acc: 0.1498 - ETA: 10s - loss: 3.4775 - acc: 0.1502 - ETA: 10s - loss: 3.4773 - acc: 0.1498 - ETA: 10s - loss: 3.4763 - acc: 0.1498 - ETA: 9s - loss: 3.4751 - acc: 0.1498 - ETA: 9s - loss: 3.4744 - acc: 0.1502 - ETA: 9s - loss: 3.4729 - acc: 0.1500 - ETA: 9s - loss: 3.4752 - acc: 0.1494 - ETA: 9s - loss: 3.4731 - acc: 0.1496 - ETA: 9s - loss: 3.4743 - acc: 0.1494 - ETA: 9s - loss: 3.4740 - acc: 0.1500 - ETA: 8s - loss: 3.4744 - acc: 0.1498 - ETA: 8s - loss: 3.4741 - acc: 0.1498 - ETA: 8s - loss: 3.4740 - acc: 0.1500 - ETA: 8s - loss: 3.4730 - acc: 0.1504 - ETA: 8s - loss: 3.4730 - acc: 0.1504 - ETA: 8s - loss: 3.4719 - acc: 0.1507 - ETA: 8s - loss: 3.4720 - acc: 0.1507 - ETA: 7s - loss: 3.4731 - acc: 0.1507 - ETA: 7s - loss: 3.4735 - acc: 0.1502 - ETA: 7s - loss: 3.4721 - acc: 0.1504 - ETA: 7s - loss: 3.4736 - acc: 0.1500 - ETA: 7s - loss: 3.4744 - acc: 0.1498 - ETA: 7s - loss: 3.4771 - acc: 0.1500 - ETA: 7s - loss: 3.4769 - acc: 0.1498 - ETA: 6s - loss: 3.4774 - acc: 0.1497 - ETA: 6s - loss: 3.4793 - acc: 0.1493 - ETA: 6s - loss: 3.4802 - acc: 0.1493 - ETA: 6s - loss: 3.4812 - acc: 0.1493 - ETA: 6s - loss: 3.4809 - acc: 0.1497 - ETA: 6s - loss: 3.4798 - acc: 0.1502 - ETA: 6s - loss: 3.4798 - acc: 0.1497 - ETA: 5s - loss: 3.4799 - acc: 0.1495 - ETA: 5s - loss: 3.4784 - acc: 0.1493 - ETA: 5s - loss: 3.4787 - acc: 0.1492 - ETA: 5s - loss: 3.4799 - acc: 0.1490 - ETA: 5s - loss: 3.4805 - acc: 0.1488 - ETA: 5s - loss: 3.4807 - acc: 0.1488 - ETA: 5s - loss: 3.4808 - acc: 0.1487 - ETA: 4s - loss: 3.4825 - acc: 0.1483 - ETA: 4s - loss: 3.4839 - acc: 0.1485 - ETA: 4s - loss: 3.4827 - acc: 0.1485 - ETA: 4s - loss: 3.4827 - acc: 0.1487 - ETA: 4s - loss: 3.4828 - acc: 0.1485 - ETA: 4s - loss: 3.4840 - acc: 0.1484 - ETA: 4s - loss: 3.4843 - acc: 0.1480 - ETA: 3s - loss: 3.4863 - acc: 0.1479 - ETA: 3s - loss: 3.4869 - acc: 0.1479 - ETA: 3s - loss: 3.4874 - acc: 0.1481 - ETA: 3s - loss: 3.4863 - acc: 0.1482 - ETA: 3s - loss: 3.4859 - acc: 0.1479 - ETA: 3s - loss: 3.4863 - acc: 0.1481 - ETA: 3s - loss: 3.4874 - acc: 0.1482 - ETA: 2s - loss: 3.4865 - acc: 0.1486 - ETA: 2s - loss: 3.4884 - acc: 0.1487 - ETA: 2s - loss: 3.4878 - acc: 0.1489 - ETA: 2s - loss: 3.4860 - acc: 0.1492 - ETA: 2s - loss: 3.4864 - acc: 0.1489 - ETA: 2s - loss: 3.4881 - acc: 0.1486 - ETA: 2s - loss: 3.4890 - acc: 0.1484 - ETA: 1s - loss: 3.4903 - acc: 0.1481 - ETA: 1s - loss: 3.4898 - acc: 0.1481 - ETA: 1s - loss: 3.4893 - acc: 0.1481 - ETA: 1s - loss: 3.4888 - acc: 0.1480 - ETA: 1s - loss: 3.4881 - acc: 0.1478 - ETA: 1s - loss: 3.4884 - acc: 0.1475 - ETA: 1s - loss: 3.4892 - acc: 0.1471 - ETA: 0s - loss: 3.4900 - acc: 0.1474 - ETA: 0s - loss: 3.4893 - acc: 0.1474 - ETA: 0s - loss: 3.4883 - acc: 0.1474 - ETA: 0s - loss: 3.4886 - acc: 0.1474 - ETA: 0s - loss: 3.4873 - acc: 0.1474 - ETA: 0s - loss: 3.4891 - acc: 0.1474Epoch 00031: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.4886 - acc: 0.1479 - val_loss: 3.8785 - val_acc: 0.1078 Epoch 33/40 6660/6680 [============================>.] - ETA: 49s - loss: 3.2759 - acc: 0.1500 - ETA: 47s - loss: 3.6559 - acc: 0.0750 - ETA: 47s - loss: 3.5669 - acc: 0.1167 - ETA: 47s - loss: 3.5918 - acc: 0.1375 - ETA: 46s - loss: 3.5771 - acc: 0.1300 - ETA: 46s - loss: 3.5670 - acc: 0.1333 - ETA: 46s - loss: 3.5770 - acc: 0.1214 - ETA: 46s - loss: 3.5386 - acc: 0.1188 - ETA: 46s - loss: 3.4576 - acc: 0.1333 - ETA: 46s - loss: 3.5719 - acc: 0.1200 - ETA: 46s - loss: 3.5477 - acc: 0.1136 - ETA: 46s - loss: 3.5730 - acc: 0.1083 - ETA: 46s - loss: 3.5197 - acc: 0.1154 - ETA: 46s - loss: 3.5247 - acc: 0.1250 - ETA: 45s - loss: 3.5180 - acc: 0.1300 - ETA: 45s - loss: 3.5070 - acc: 0.1375 - ETA: 45s - loss: 3.5142 - acc: 0.1324 - ETA: 45s - loss: 3.5048 - acc: 0.1306 - ETA: 45s - loss: 3.5239 - acc: 0.1342 - ETA: 45s - loss: 3.4996 - acc: 0.1375 - ETA: 45s - loss: 3.4653 - acc: 0.1500 - ETA: 45s - loss: 3.4698 - acc: 0.1477 - ETA: 44s - loss: 3.4677 - acc: 0.1457 - ETA: 44s - loss: 3.4615 - acc: 0.1458 - ETA: 44s - loss: 3.4778 - acc: 0.1440 - ETA: 44s - loss: 3.4716 - acc: 0.1423 - ETA: 44s - loss: 3.4604 - acc: 0.1426 - ETA: 44s - loss: 3.4456 - acc: 0.1429 - ETA: 43s - loss: 3.4401 - acc: 0.1431 - ETA: 43s - loss: 3.4341 - acc: 0.1433 - ETA: 43s - loss: 3.4315 - acc: 0.1452 - ETA: 43s - loss: 3.4137 - acc: 0.1484 - ETA: 43s - loss: 3.4264 - acc: 0.1455 - ETA: 43s - loss: 3.4383 - acc: 0.1456 - ETA: 43s - loss: 3.4356 - acc: 0.1457 - ETA: 42s - loss: 3.4368 - acc: 0.1458 - ETA: 42s - loss: 3.4318 - acc: 0.1459 - ETA: 42s - loss: 3.4276 - acc: 0.1461 - ETA: 42s - loss: 3.4200 - acc: 0.1487 - ETA: 42s - loss: 3.4354 - acc: 0.1488 - ETA: 42s - loss: 3.4392 - acc: 0.1488 - ETA: 42s - loss: 3.4361 - acc: 0.1488 - ETA: 41s - loss: 3.4456 - acc: 0.1477 - ETA: 41s - loss: 3.4302 - acc: 0.1500 - ETA: 41s - loss: 3.4400 - acc: 0.1478 - ETA: 41s - loss: 3.4310 - acc: 0.1489 - ETA: 41s - loss: 3.4225 - acc: 0.1489 - ETA: 41s - loss: 3.4102 - acc: 0.1531 - ETA: 41s - loss: 3.4215 - acc: 0.1531 - ETA: 40s - loss: 3.4221 - acc: 0.1550 - ETA: 40s - loss: 3.4253 - acc: 0.1539 - ETA: 40s - loss: 3.4327 - acc: 0.1529 - ETA: 40s - loss: 3.4318 - acc: 0.1519 - ETA: 40s - loss: 3.4359 - acc: 0.1528 - ETA: 40s - loss: 3.4345 - acc: 0.1518 - ETA: 39s - loss: 3.4257 - acc: 0.1536 - ETA: 39s - loss: 3.4209 - acc: 0.1553 - ETA: 39s - loss: 3.4203 - acc: 0.1569 - ETA: 39s - loss: 3.4157 - acc: 0.1585 - ETA: 39s - loss: 3.4035 - acc: 0.1608 - ETA: 39s - loss: 3.4001 - acc: 0.1607 - ETA: 39s - loss: 3.4088 - acc: 0.1613 - ETA: 38s - loss: 3.4050 - acc: 0.1611 - ETA: 38s - loss: 3.4099 - acc: 0.1602 - ETA: 38s - loss: 3.4090 - acc: 0.1608 - ETA: 38s - loss: 3.4034 - acc: 0.1598 - ETA: 38s - loss: 3.3952 - acc: 0.1597 - ETA: 38s - loss: 3.3991 - acc: 0.1603 - ETA: 38s - loss: 3.4020 - acc: 0.1594 - ETA: 37s - loss: 3.4018 - acc: 0.1600 - ETA: 37s - loss: 3.4068 - acc: 0.1599 - ETA: 37s - loss: 3.4186 - acc: 0.1576 - ETA: 37s - loss: 3.4197 - acc: 0.1575 - ETA: 37s - loss: 3.4215 - acc: 0.1574 - ETA: 37s - loss: 3.4203 - acc: 0.1567 - ETA: 37s - loss: 3.4244 - acc: 0.1566 - ETA: 36s - loss: 3.4183 - acc: 0.1578 - ETA: 36s - loss: 3.4185 - acc: 0.1571 - ETA: 36s - loss: 3.4205 - acc: 0.1557 - ETA: 36s - loss: 3.4192 - acc: 0.1550 - ETA: 36s - loss: 3.4136 - acc: 0.1549 - ETA: 36s - loss: 3.4116 - acc: 0.1537 - ETA: 36s - loss: 3.4155 - acc: 0.1530 - ETA: 35s - loss: 3.4123 - acc: 0.1524 - ETA: 35s - loss: 3.4112 - acc: 0.1529 - ETA: 35s - loss: 3.4143 - acc: 0.1529 - ETA: 35s - loss: 3.4157 - acc: 0.1523 - ETA: 35s - loss: 3.4197 - acc: 0.1517 - ETA: 35s - loss: 3.4244 - acc: 0.1506 - ETA: 35s - loss: 3.4191 - acc: 0.1500 - ETA: 34s - loss: 3.4150 - acc: 0.1500 - ETA: 34s - loss: 3.4137 - acc: 0.1500 - ETA: 34s - loss: 3.4167 - acc: 0.1500 - ETA: 34s - loss: 3.4129 - acc: 0.1505 - ETA: 34s - loss: 3.4126 - acc: 0.1500 - ETA: 34s - loss: 3.4174 - acc: 0.1495 - ETA: 34s - loss: 3.4151 - acc: 0.1485 - ETA: 33s - loss: 3.4116 - acc: 0.1474 - ETA: 33s - loss: 3.4087 - acc: 0.1475 - ETA: 33s - loss: 3.4082 - acc: 0.1475 - ETA: 33s - loss: 3.4121 - acc: 0.1470 - ETA: 33s - loss: 3.4118 - acc: 0.1466 - ETA: 33s - loss: 3.4073 - acc: 0.1476 - ETA: 33s - loss: 3.4038 - acc: 0.1481 - ETA: 32s - loss: 3.4049 - acc: 0.1471 - ETA: 32s - loss: 3.4074 - acc: 0.1462 - ETA: 32s - loss: 3.4073 - acc: 0.1458 - ETA: 32s - loss: 3.4027 - acc: 0.1481 - ETA: 32s - loss: 3.4034 - acc: 0.1482 - ETA: 32s - loss: 3.4082 - acc: 0.1473 - ETA: 32s - loss: 3.4091 - acc: 0.1477 - ETA: 31s - loss: 3.4144 - acc: 0.1473 - ETA: 31s - loss: 3.4183 - acc: 0.1469 - ETA: 31s - loss: 3.4157 - acc: 0.1474 - ETA: 31s - loss: 3.4159 - acc: 0.1470 - ETA: 31s - loss: 3.4176 - acc: 0.1466 - ETA: 31s - loss: 3.4203 - acc: 0.1462 - ETA: 31s - loss: 3.4216 - acc: 0.1470 - ETA: 30s - loss: 3.4233 - acc: 0.1466 - ETA: 30s - loss: 3.4218 - acc: 0.1463 - ETA: 30s - loss: 3.4190 - acc: 0.1471 - ETA: 30s - loss: 3.4197 - acc: 0.1463 - ETA: 30s - loss: 3.4226 - acc: 0.1459 - ETA: 30s - loss: 3.4214 - acc: 0.1464 - ETA: 29s - loss: 3.4186 - acc: 0.1464 - ETA: 29s - loss: 3.4195 - acc: 0.1460 - ETA: 29s - loss: 3.4160 - acc: 0.1476 - ETA: 29s - loss: 3.4126 - acc: 0.1480 - ETA: 29s - loss: 3.4062 - acc: 0.1496 - ETA: 29s - loss: 3.4107 - acc: 0.1496 - ETA: 29s - loss: 3.4117 - acc: 0.1500 - ETA: 28s - loss: 3.4077 - acc: 0.1511 - ETA: 28s - loss: 3.4086 - acc: 0.1508 - ETA: 28s - loss: 3.4078 - acc: 0.1522 - ETA: 28s - loss: 3.4103 - acc: 0.1515 - ETA: 28s - loss: 3.4097 - acc: 0.1515 - ETA: 28s - loss: 3.4141 - acc: 0.1518 - ETA: 28s - loss: 3.4194 - acc: 0.1522 - ETA: 27s - loss: 3.4267 - acc: 0.1514 - ETA: 27s - loss: 3.4257 - acc: 0.1518 - ETA: 27s - loss: 3.4254 - acc: 0.1518 - ETA: 27s - loss: 3.4265 - acc: 0.1518 - ETA: 27s - loss: 3.4261 - acc: 0.1517 - ETA: 27s - loss: 3.4231 - acc: 0.1517 - ETA: 27s - loss: 3.4239 - acc: 0.1510 - ETA: 26s - loss: 3.4234 - acc: 0.1507 - ETA: 26s - loss: 3.4252 - acc: 0.1500 - ETA: 26s - loss: 3.4265 - acc: 0.1503 - ETA: 26s - loss: 3.4273 - acc: 0.1500 - ETA: 26s - loss: 3.4278 - acc: 0.1493 - ETA: 26s - loss: 3.4264 - acc: 0.1487 - ETA: 26s - loss: 3.4269 - acc: 0.1497 - ETA: 25s - loss: 3.4313 - acc: 0.1493 - ETA: 25s - loss: 3.4319 - acc: 0.1497 - ETA: 25s - loss: 3.4284 - acc: 0.1503 - ETA: 25s - loss: 3.4290 - acc: 0.1510 - ETA: 25s - loss: 3.4308 - acc: 0.1506 - ETA: 25s - loss: 3.4324 - acc: 0.1503 - ETA: 25s - loss: 3.4375 - acc: 0.1494 - ETA: 24s - loss: 3.4439 - acc: 0.1484 - ETA: 24s - loss: 3.4460 - acc: 0.1478 - ETA: 24s - loss: 3.4477 - acc: 0.1472 - ETA: 24s - loss: 3.4476 - acc: 0.1479 - ETA: 24s - loss: 3.4482 - acc: 0.1476 - ETA: 24s - loss: 3.4482 - acc: 0.1473 - ETA: 24s - loss: 3.4466 - acc: 0.1479 - ETA: 23s - loss: 3.4456 - acc: 0.1476 - ETA: 23s - loss: 3.4458 - acc: 0.1476 - ETA: 23s - loss: 3.4471 - acc: 0.1476 - ETA: 23s - loss: 3.4469 - acc: 0.1482 - ETA: 23s - loss: 3.4484 - acc: 0.1480 - ETA: 23s - loss: 3.4484 - acc: 0.1483 - ETA: 23s - loss: 3.4480 - acc: 0.1480 - ETA: 22s - loss: 3.4513 - acc: 0.1480 - ETA: 22s - loss: 3.4506 - acc: 0.1480 - ETA: 22s - loss: 3.4500 - acc: 0.1483 - ETA: 22s - loss: 3.4533 - acc: 0.1477 - ETA: 22s - loss: 3.4522 - acc: 0.1486 - ETA: 22s - loss: 3.4527 - acc: 0.1483 - ETA: 22s - loss: 3.4546 - acc: 0.1481 - ETA: 21s - loss: 3.4567 - acc: 0.1483 - ETA: 21s - loss: 3.4568 - acc: 0.1481 - ETA: 21s - loss: 3.4549 - acc: 0.1486 - ETA: 21s - loss: 3.4524 - acc: 0.1489 - ETA: 21s - loss: 3.4529 - acc: 0.1484 - ETA: 21s - loss: 3.4536 - acc: 0.1478 - ETA: 21s - loss: 3.4551 - acc: 0.1473 - ETA: 20s - loss: 3.4508 - acc: 0.1479 - ETA: 20s - loss: 3.4535 - acc: 0.1474 - ETA: 20s - loss: 3.4563 - acc: 0.1471 - ETA: 20s - loss: 3.4554 - acc: 0.1474 - ETA: 20s - loss: 3.4548 - acc: 0.1474 - ETA: 20s - loss: 3.4554 - acc: 0.1477 - ETA: 20s - loss: 3.4577 - acc: 0.1474 - ETA: 19s - loss: 3.4571 - acc: 0.1472 - ETA: 19s - loss: 3.4560 - acc: 0.1472 - ETA: 19s - loss: 3.4552 - acc: 0.1472 - ETA: 19s - loss: 3.4555 - acc: 0.1472 - ETA: 19s - loss: 3.4541 - acc: 0.1470 - ETA: 19s - loss: 3.4517 - acc: 0.1470 - ETA: 19s - loss: 3.4526 - acc: 0.1470 - ETA: 18s - loss: 3.4568 - acc: 0.1465 - ETA: 18s - loss: 3.4546 - acc: 0.1468 - ETA: 18s - loss: 3.4546 - acc: 0.1471 - ETA: 18s - loss: 3.4569 - acc: 0.1471 - ETA: 18s - loss: 3.4551 - acc: 0.1471 - ETA: 18s - loss: 3.4561 - acc: 0.1466 - ETA: 18s - loss: 3.4558 - acc: 0.1464 - ETA: 17s - loss: 3.4584 - acc: 0.1457 - ETA: 17s - loss: 3.4586 - acc: 0.1455 - ETA: 17s - loss: 3.4600 - acc: 0.1457 - ETA: 17s - loss: 3.4572 - acc: 0.1462 - ETA: 17s - loss: 3.4577 - acc: 0.1465 - ETA: 17s - loss: 3.4588 - acc: 0.1465 - ETA: 17s - loss: 3.4594 - acc: 0.1458 - ETA: 16s - loss: 3.4583 - acc: 0.1465 - ETA: 16s - loss: 3.4577 - acc: 0.1470 - ETA: 16s - loss: 3.4590 - acc: 0.1470 - ETA: 16s - loss: 3.4585 - acc: 0.1466 - ETA: 16s - loss: 3.4595 - acc: 0.1464 - ETA: 16s - loss: 3.4564 - acc: 0.1473 - ETA: 16s - loss: 3.4578 - acc: 0.1471 - ETA: 15s - loss: 3.4572 - acc: 0.1471 - ETA: 15s - loss: 3.4576 - acc: 0.1469 - ETA: 15s - loss: 3.4599 - acc: 0.1469 - ETA: 15s - loss: 3.4588 - acc: 0.1469 - ETA: 15s - loss: 3.4570 - acc: 0.1471 - ETA: 15s - loss: 3.4570 - acc: 0.1471 - ETA: 15s - loss: 3.4593 - acc: 0.1467 - ETA: 14s - loss: 3.4597 - acc: 0.1463 - ETA: 14s - loss: 3.4595 - acc: 0.1463 - ETA: 14s - loss: 3.4601 - acc: 0.1459 - ETA: 14s - loss: 3.4586 - acc: 0.1461 - ETA: 14s - loss: 3.4591 - acc: 0.1462 - ETA: 14s - loss: 3.4590 - acc: 0.1464 - ETA: 14s - loss: 3.4591 - acc: 0.1470 - ETA: 13s - loss: 3.4610 - acc: 0.1466 - ETA: 13s - loss: 3.4643 - acc: 0.1462 - ETA: 13s - loss: 3.4638 - acc: 0.1464 - ETA: 13s - loss: 3.4642 - acc: 0.1467 - ETA: 13s - loss: 3.4635 - acc: 0.1467 - ETA: 13s - loss: 3.4621 - acc: 0.1467 - ETA: 13s - loss: 3.4607 - acc: 0.1471 - ETA: 12s - loss: 3.4609 - acc: 0.1471 - ETA: 12s - loss: 3.4593 - acc: 0.1467 - ETA: 12s - loss: 3.4607 - acc: 0.1470 - ETA: 12s - loss: 3.4591 - acc: 0.1480 - ETA: 12s - loss: 3.4588 - acc: 0.1480 - ETA: 12s - loss: 3.4593 - acc: 0.1474 - ETA: 12s - loss: 3.4598 - acc: 0.1476 - ETA: 11s - loss: 3.4581 - acc: 0.1478 - ETA: 11s - loss: 3.4589 - acc: 0.1476 - ETA: 11s - loss: 3.4574 - acc: 0.1480 - ETA: 11s - loss: 3.4565 - acc: 0.1480 - ETA: 11s - loss: 3.4556 - acc: 0.1476 - ETA: 11s - loss: 3.4562 - acc: 0.1477 - ETA: 11s - loss: 3.4584 - acc: 0.1471 - ETA: 10s - loss: 3.4595 - acc: 0.1475 - ETA: 10s - loss: 3.4581 - acc: 0.1477 - ETA: 10s - loss: 3.4578 - acc: 0.1475 - ETA: 10s - loss: 3.4575 - acc: 0.1473 - ETA: 10s - loss: 3.4570 - acc: 0.1473 - ETA: 10s - loss: 3.4591 - acc: 0.1471 - ETA: 10s - loss: 3.4592 - acc: 0.1472 - ETA: 9s - loss: 3.4574 - acc: 0.1475 - ETA: 9s - loss: 3.4592 - acc: 0.1472 - ETA: 9s - loss: 3.4579 - acc: 0.1474 - ETA: 9s - loss: 3.4577 - acc: 0.1470 - ETA: 9s - loss: 3.4574 - acc: 0.1470 - ETA: 9s - loss: 3.4573 - acc: 0.1470 - ETA: 9s - loss: 3.4597 - acc: 0.1472 - ETA: 8s - loss: 3.4606 - acc: 0.1472 - ETA: 8s - loss: 3.4607 - acc: 0.1474 - ETA: 8s - loss: 3.4616 - acc: 0.1474 - ETA: 8s - loss: 3.4601 - acc: 0.1475 - ETA: 8s - loss: 3.4611 - acc: 0.1475 - ETA: 8s - loss: 3.4621 - acc: 0.1473 - ETA: 8s - loss: 3.4630 - acc: 0.1468 - ETA: 7s - loss: 3.4612 - acc: 0.1470 - ETA: 7s - loss: 3.4596 - acc: 0.1468 - ETA: 7s - loss: 3.4579 - acc: 0.1468 - ETA: 7s - loss: 3.4564 - acc: 0.1472 - ETA: 7s - loss: 3.4569 - acc: 0.1468 - ETA: 7s - loss: 3.4571 - acc: 0.1468 - ETA: 7s - loss: 3.4547 - acc: 0.1470 - ETA: 6s - loss: 3.4561 - acc: 0.1469 - ETA: 6s - loss: 3.4567 - acc: 0.1465 - ETA: 6s - loss: 3.4556 - acc: 0.1464 - ETA: 6s - loss: 3.4577 - acc: 0.1464 - ETA: 6s - loss: 3.4576 - acc: 0.1467 - ETA: 6s - loss: 3.4585 - acc: 0.1471 - ETA: 6s - loss: 3.4573 - acc: 0.1471 - ETA: 5s - loss: 3.4581 - acc: 0.1468 - ETA: 5s - loss: 3.4573 - acc: 0.1471 - ETA: 5s - loss: 3.4574 - acc: 0.1471 - ETA: 5s - loss: 3.4568 - acc: 0.1475 - ETA: 5s - loss: 3.4551 - acc: 0.1480 - ETA: 5s - loss: 3.4552 - acc: 0.1482 - ETA: 5s - loss: 3.4545 - acc: 0.1483 - ETA: 4s - loss: 3.4554 - acc: 0.1480 - ETA: 4s - loss: 3.4546 - acc: 0.1483 - ETA: 4s - loss: 3.4553 - acc: 0.1480 - ETA: 4s - loss: 3.4567 - acc: 0.1477 - ETA: 4s - loss: 3.4563 - acc: 0.1475 - ETA: 4s - loss: 3.4549 - acc: 0.1480 - ETA: 4s - loss: 3.4551 - acc: 0.1480 - ETA: 3s - loss: 3.4551 - acc: 0.1479 - ETA: 3s - loss: 3.4539 - acc: 0.1479 - ETA: 3s - loss: 3.4525 - acc: 0.1481 - ETA: 3s - loss: 3.4525 - acc: 0.1482 - ETA: 3s - loss: 3.4539 - acc: 0.1481 - ETA: 3s - loss: 3.4546 - acc: 0.1478 - ETA: 3s - loss: 3.4525 - acc: 0.1482 - ETA: 2s - loss: 3.4526 - acc: 0.1482 - ETA: 2s - loss: 3.4539 - acc: 0.1479 - ETA: 2s - loss: 3.4559 - acc: 0.1478 - ETA: 2s - loss: 3.4557 - acc: 0.1478 - ETA: 2s - loss: 3.4551 - acc: 0.1484 - ETA: 2s - loss: 3.4549 - acc: 0.1484 - ETA: 2s - loss: 3.4550 - acc: 0.1484 - ETA: 1s - loss: 3.4551 - acc: 0.1481 - ETA: 1s - loss: 3.4555 - acc: 0.1480 - ETA: 1s - loss: 3.4550 - acc: 0.1480 - ETA: 1s - loss: 3.4538 - acc: 0.1481 - ETA: 1s - loss: 3.4526 - acc: 0.1485 - ETA: 1s - loss: 3.4528 - acc: 0.1483 - ETA: 1s - loss: 3.4527 - acc: 0.1483 - ETA: 0s - loss: 3.4511 - acc: 0.1488 - ETA: 0s - loss: 3.4521 - acc: 0.1488 - ETA: 0s - loss: 3.4524 - acc: 0.1489 - ETA: 0s - loss: 3.4519 - acc: 0.1489 - ETA: 0s - loss: 3.4526 - acc: 0.1491 - ETA: 0s - loss: 3.4545 - acc: 0.1486Epoch 00032: val_loss improved from 3.74694 to 3.63451, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 3.4526 - acc: 0.1490 - val_loss: 3.6345 - val_acc: 0.1425 Epoch 34/40 6660/6680 [============================>.] - ETA: 48s - loss: 3.3494 - acc: 0.2000 - ETA: 47s - loss: 3.3094 - acc: 0.1750 - ETA: 47s - loss: 3.2874 - acc: 0.1833 - ETA: 46s - loss: 3.3891 - acc: 0.1500 - ETA: 46s - loss: 3.3283 - acc: 0.1600 - ETA: 46s - loss: 3.3245 - acc: 0.1500 - ETA: 46s - loss: 3.3686 - acc: 0.1429 - ETA: 46s - loss: 3.3584 - acc: 0.1500 - ETA: 46s - loss: 3.3272 - acc: 0.1500 - ETA: 46s - loss: 3.3519 - acc: 0.1600 - ETA: 45s - loss: 3.3247 - acc: 0.1682 - ETA: 45s - loss: 3.3432 - acc: 0.1583 - ETA: 45s - loss: 3.3432 - acc: 0.1577 - ETA: 45s - loss: 3.3593 - acc: 0.1500 - ETA: 45s - loss: 3.3798 - acc: 0.1500 - ETA: 45s - loss: 3.3495 - acc: 0.1563 - ETA: 45s - loss: 3.3300 - acc: 0.1647 - ETA: 45s - loss: 3.3189 - acc: 0.1639 - ETA: 45s - loss: 3.2747 - acc: 0.1711 - ETA: 45s - loss: 3.2414 - acc: 0.1850 - ETA: 45s - loss: 3.2627 - acc: 0.1905 - ETA: 44s - loss: 3.2843 - acc: 0.1864 - ETA: 44s - loss: 3.3031 - acc: 0.1826 - ETA: 44s - loss: 3.3120 - acc: 0.1750 - ETA: 44s - loss: 3.2951 - acc: 0.1800 - ETA: 44s - loss: 3.3098 - acc: 0.1788 - ETA: 44s - loss: 3.3218 - acc: 0.1741 - ETA: 43s - loss: 3.3299 - acc: 0.1750 - ETA: 43s - loss: 3.3307 - acc: 0.1724 - ETA: 43s - loss: 3.3234 - acc: 0.1717 - ETA: 43s - loss: 3.3076 - acc: 0.1726 - ETA: 43s - loss: 3.3007 - acc: 0.1734 - ETA: 43s - loss: 3.3071 - acc: 0.1788 - ETA: 43s - loss: 3.3350 - acc: 0.1735 - ETA: 43s - loss: 3.3284 - acc: 0.1757 - ETA: 42s - loss: 3.3382 - acc: 0.1722 - ETA: 42s - loss: 3.3318 - acc: 0.1730 - ETA: 42s - loss: 3.3420 - acc: 0.1724 - ETA: 42s - loss: 3.3457 - acc: 0.1731 - ETA: 42s - loss: 3.3281 - acc: 0.1788 - ETA: 42s - loss: 3.3270 - acc: 0.1793 - ETA: 41s - loss: 3.3386 - acc: 0.1750 - ETA: 41s - loss: 3.3375 - acc: 0.1744 - ETA: 41s - loss: 3.3451 - acc: 0.1750 - ETA: 41s - loss: 3.3449 - acc: 0.1767 - ETA: 41s - loss: 3.3518 - acc: 0.1783 - ETA: 41s - loss: 3.3576 - acc: 0.1777 - ETA: 41s - loss: 3.3617 - acc: 0.1760 - ETA: 41s - loss: 3.3655 - acc: 0.1724 - ETA: 40s - loss: 3.3718 - acc: 0.1710 - ETA: 40s - loss: 3.3729 - acc: 0.1706 - ETA: 40s - loss: 3.3720 - acc: 0.1692 - ETA: 40s - loss: 3.3676 - acc: 0.1689 - ETA: 40s - loss: 3.3652 - acc: 0.1676 - ETA: 40s - loss: 3.3598 - acc: 0.1682 - ETA: 40s - loss: 3.3554 - acc: 0.1696 - ETA: 39s - loss: 3.3586 - acc: 0.1684 - ETA: 39s - loss: 3.3625 - acc: 0.1655 - ETA: 39s - loss: 3.3638 - acc: 0.1661 - ETA: 39s - loss: 3.3638 - acc: 0.1667 - ETA: 39s - loss: 3.3661 - acc: 0.1656 - ETA: 39s - loss: 3.3703 - acc: 0.1661 - ETA: 39s - loss: 3.3705 - acc: 0.1667 - ETA: 38s - loss: 3.3655 - acc: 0.1680 - ETA: 38s - loss: 3.3657 - acc: 0.1677 - ETA: 38s - loss: 3.3672 - acc: 0.1682 - ETA: 38s - loss: 3.3665 - acc: 0.1687 - ETA: 38s - loss: 3.3653 - acc: 0.1676 - ETA: 38s - loss: 3.3605 - acc: 0.1681 - ETA: 38s - loss: 3.3645 - acc: 0.1664 - ETA: 37s - loss: 3.3619 - acc: 0.1655 - ETA: 37s - loss: 3.3647 - acc: 0.1646 - ETA: 37s - loss: 3.3586 - acc: 0.1664 - ETA: 37s - loss: 3.3569 - acc: 0.1662 - ETA: 37s - loss: 3.3598 - acc: 0.1660 - ETA: 37s - loss: 3.3536 - acc: 0.1664 - ETA: 37s - loss: 3.3537 - acc: 0.1675 - ETA: 36s - loss: 3.3529 - acc: 0.1679 - ETA: 36s - loss: 3.3492 - acc: 0.1684 - ETA: 36s - loss: 3.3483 - acc: 0.1688 - ETA: 36s - loss: 3.3461 - acc: 0.1679 - ETA: 36s - loss: 3.3487 - acc: 0.1677 - ETA: 36s - loss: 3.3506 - acc: 0.1663 - ETA: 36s - loss: 3.3527 - acc: 0.1655 - ETA: 35s - loss: 3.3517 - acc: 0.1647 - ETA: 35s - loss: 3.3514 - acc: 0.1645 - ETA: 35s - loss: 3.3481 - acc: 0.1649 - ETA: 35s - loss: 3.3473 - acc: 0.1642 - ETA: 35s - loss: 3.3503 - acc: 0.1640 - ETA: 35s - loss: 3.3539 - acc: 0.1639 - ETA: 34s - loss: 3.3518 - acc: 0.1632 - ETA: 34s - loss: 3.3494 - acc: 0.1641 - ETA: 34s - loss: 3.3477 - acc: 0.1640 - ETA: 34s - loss: 3.3536 - acc: 0.1628 - ETA: 34s - loss: 3.3590 - acc: 0.1621 - ETA: 34s - loss: 3.3564 - acc: 0.1635 - ETA: 34s - loss: 3.3528 - acc: 0.1644 - ETA: 33s - loss: 3.3584 - acc: 0.1633 - ETA: 33s - loss: 3.3587 - acc: 0.1621 - ETA: 33s - loss: 3.3630 - acc: 0.1610 - ETA: 33s - loss: 3.3630 - acc: 0.1604 - ETA: 33s - loss: 3.3580 - acc: 0.1613 - ETA: 33s - loss: 3.3581 - acc: 0.1617 - ETA: 33s - loss: 3.3625 - acc: 0.1620 - ETA: 32s - loss: 3.3662 - acc: 0.1624 - ETA: 32s - loss: 3.3653 - acc: 0.1623 - ETA: 32s - loss: 3.3658 - acc: 0.1626 - ETA: 32s - loss: 3.3694 - acc: 0.1620 - ETA: 32s - loss: 3.3735 - acc: 0.1619 - ETA: 32s - loss: 3.3794 - acc: 0.1618 - ETA: 32s - loss: 3.3777 - acc: 0.1622 - ETA: 31s - loss: 3.3717 - acc: 0.1625 - ETA: 31s - loss: 3.3690 - acc: 0.1624 - ETA: 31s - loss: 3.3645 - acc: 0.1618 - ETA: 31s - loss: 3.3674 - acc: 0.1617 - ETA: 31s - loss: 3.3681 - acc: 0.1608 - ETA: 31s - loss: 3.3702 - acc: 0.1603 - ETA: 30s - loss: 3.3709 - acc: 0.1606 - ETA: 30s - loss: 3.3767 - acc: 0.1605 - ETA: 30s - loss: 3.3762 - acc: 0.1613 - ETA: 30s - loss: 3.3751 - acc: 0.1620 - ETA: 30s - loss: 3.3749 - acc: 0.1623 - ETA: 30s - loss: 3.3746 - acc: 0.1622 - ETA: 30s - loss: 3.3751 - acc: 0.1629 - ETA: 30s - loss: 3.3759 - acc: 0.1620 - ETA: 29s - loss: 3.3729 - acc: 0.1623 - ETA: 29s - loss: 3.3715 - acc: 0.1626 - ETA: 29s - loss: 3.3714 - acc: 0.1621 - ETA: 29s - loss: 3.3748 - acc: 0.1632 - ETA: 29s - loss: 3.3772 - acc: 0.1635 - ETA: 29s - loss: 3.3765 - acc: 0.1637 - ETA: 28s - loss: 3.3806 - acc: 0.1629 - ETA: 28s - loss: 3.3794 - acc: 0.1628 - ETA: 28s - loss: 3.3770 - acc: 0.1646 - ETA: 28s - loss: 3.3764 - acc: 0.1641 - ETA: 28s - loss: 3.3754 - acc: 0.1643 - ETA: 28s - loss: 3.3771 - acc: 0.1639 - ETA: 28s - loss: 3.3815 - acc: 0.1638 - ETA: 27s - loss: 3.3823 - acc: 0.1640 - ETA: 27s - loss: 3.3844 - acc: 0.1639 - ETA: 27s - loss: 3.3832 - acc: 0.1642 - ETA: 27s - loss: 3.3847 - acc: 0.1641 - ETA: 27s - loss: 3.3818 - acc: 0.1647 - ETA: 27s - loss: 3.3852 - acc: 0.1642 - ETA: 27s - loss: 3.3903 - acc: 0.1638 - ETA: 26s - loss: 3.3893 - acc: 0.1640 - ETA: 26s - loss: 3.3901 - acc: 0.1639 - ETA: 26s - loss: 3.3874 - acc: 0.1639 - ETA: 26s - loss: 3.3860 - acc: 0.1638 - ETA: 26s - loss: 3.3852 - acc: 0.1637 - ETA: 26s - loss: 3.3858 - acc: 0.1639 - ETA: 26s - loss: 3.3867 - acc: 0.1635 - ETA: 25s - loss: 3.3850 - acc: 0.1641 - ETA: 25s - loss: 3.3846 - acc: 0.1643 - ETA: 25s - loss: 3.3854 - acc: 0.1639 - ETA: 25s - loss: 3.3886 - acc: 0.1638 - ETA: 25s - loss: 3.3909 - acc: 0.1637 - ETA: 25s - loss: 3.3905 - acc: 0.1642 - ETA: 25s - loss: 3.3914 - acc: 0.1638 - ETA: 25s - loss: 3.3897 - acc: 0.1638 - ETA: 24s - loss: 3.3893 - acc: 0.1640 - ETA: 24s - loss: 3.3910 - acc: 0.1636 - ETA: 24s - loss: 3.3912 - acc: 0.1635 - ETA: 24s - loss: 3.3898 - acc: 0.1646 - ETA: 24s - loss: 3.3872 - acc: 0.1645 - ETA: 24s - loss: 3.3855 - acc: 0.1648 - ETA: 24s - loss: 3.3852 - acc: 0.1650 - ETA: 23s - loss: 3.3846 - acc: 0.1658 - ETA: 23s - loss: 3.3877 - acc: 0.1654 - ETA: 23s - loss: 3.3889 - acc: 0.1653 - ETA: 23s - loss: 3.3865 - acc: 0.1658 - ETA: 23s - loss: 3.3880 - acc: 0.1654 - ETA: 23s - loss: 3.3884 - acc: 0.1656 - ETA: 23s - loss: 3.3907 - acc: 0.1649 - ETA: 22s - loss: 3.3889 - acc: 0.1651 - ETA: 22s - loss: 3.3862 - acc: 0.1651 - ETA: 22s - loss: 3.3859 - acc: 0.1661 - ETA: 22s - loss: 3.3852 - acc: 0.1660 - ETA: 22s - loss: 3.3835 - acc: 0.1665 - ETA: 22s - loss: 3.3842 - acc: 0.1664 - ETA: 21s - loss: 3.3827 - acc: 0.1666 - ETA: 21s - loss: 3.3808 - acc: 0.1665 - ETA: 21s - loss: 3.3817 - acc: 0.1667 - ETA: 21s - loss: 3.3861 - acc: 0.1663 - ETA: 21s - loss: 3.3850 - acc: 0.1662 - ETA: 21s - loss: 3.3846 - acc: 0.1659 - ETA: 21s - loss: 3.3847 - acc: 0.1658 - ETA: 20s - loss: 3.3864 - acc: 0.1652 - ETA: 20s - loss: 3.3864 - acc: 0.1659 - ETA: 20s - loss: 3.3870 - acc: 0.1655 - ETA: 20s - loss: 3.3858 - acc: 0.1657 - ETA: 20s - loss: 3.3843 - acc: 0.1656 - ETA: 20s - loss: 3.3847 - acc: 0.1653 - ETA: 20s - loss: 3.3859 - acc: 0.1649 - ETA: 19s - loss: 3.3839 - acc: 0.1651 - ETA: 19s - loss: 3.3859 - acc: 0.1651 - ETA: 19s - loss: 3.3866 - acc: 0.1652 - ETA: 19s - loss: 3.3865 - acc: 0.1652 - ETA: 19s - loss: 3.3872 - acc: 0.1648 - ETA: 19s - loss: 3.3846 - acc: 0.1650 - ETA: 19s - loss: 3.3851 - acc: 0.1644 - ETA: 18s - loss: 3.3833 - acc: 0.1649 - ETA: 18s - loss: 3.3856 - acc: 0.1645 - ETA: 18s - loss: 3.3857 - acc: 0.1647 - ETA: 18s - loss: 3.3845 - acc: 0.1649 - ETA: 18s - loss: 3.3856 - acc: 0.1641 - ETA: 18s - loss: 3.3841 - acc: 0.1647 - ETA: 18s - loss: 3.3848 - acc: 0.1647 - ETA: 17s - loss: 3.3827 - acc: 0.1646 - ETA: 17s - loss: 3.3854 - acc: 0.1643 - ETA: 17s - loss: 3.3881 - acc: 0.1640 - ETA: 17s - loss: 3.3884 - acc: 0.1639 - ETA: 17s - loss: 3.3882 - acc: 0.1641 - ETA: 17s - loss: 3.3866 - acc: 0.1640 - ETA: 17s - loss: 3.3866 - acc: 0.1640 - ETA: 16s - loss: 3.3849 - acc: 0.1646 - ETA: 16s - loss: 3.3844 - acc: 0.1647 - ETA: 16s - loss: 3.3835 - acc: 0.1647 - ETA: 16s - loss: 3.3848 - acc: 0.1642 - ETA: 16s - loss: 3.3841 - acc: 0.1643 - ETA: 16s - loss: 3.3850 - acc: 0.1640 - ETA: 16s - loss: 3.3856 - acc: 0.1637 - ETA: 15s - loss: 3.3873 - acc: 0.1632 - ETA: 15s - loss: 3.3898 - acc: 0.1627 - ETA: 15s - loss: 3.3912 - acc: 0.1627 - ETA: 15s - loss: 3.3895 - acc: 0.1635 - ETA: 15s - loss: 3.3923 - acc: 0.1630 - ETA: 15s - loss: 3.3909 - acc: 0.1636 - ETA: 15s - loss: 3.3906 - acc: 0.1631 - ETA: 14s - loss: 3.3908 - acc: 0.1626 - ETA: 14s - loss: 3.3890 - acc: 0.1621 - ETA: 14s - loss: 3.3900 - acc: 0.1619 - ETA: 14s - loss: 3.3937 - acc: 0.1614 - ETA: 14s - loss: 3.3948 - acc: 0.1609 - ETA: 14s - loss: 3.3954 - acc: 0.1609 - ETA: 14s - loss: 3.3967 - acc: 0.1604 - ETA: 13s - loss: 3.3965 - acc: 0.1601 - ETA: 13s - loss: 3.3958 - acc: 0.1603 - ETA: 13s - loss: 3.3953 - acc: 0.1607 - ETA: 13s - loss: 3.3955 - acc: 0.1602 - ETA: 13s - loss: 3.3964 - acc: 0.1602 - ETA: 13s - loss: 3.3980 - acc: 0.1597 - ETA: 13s - loss: 3.3979 - acc: 0.1595 - ETA: 12s - loss: 3.3992 - acc: 0.1594 - ETA: 12s - loss: 3.4019 - acc: 0.1588 - ETA: 12s - loss: 3.4022 - acc: 0.1585 - ETA: 12s - loss: 3.4000 - acc: 0.1591 - ETA: 12s - loss: 3.4006 - acc: 0.1585 - ETA: 12s - loss: 3.3991 - acc: 0.1582 - ETA: 12s - loss: 3.3972 - acc: 0.1584 - ETA: 11s - loss: 3.3979 - acc: 0.1584 - ETA: 11s - loss: 3.3979 - acc: 0.1585 - ETA: 11s - loss: 3.3981 - acc: 0.1585 - ETA: 11s - loss: 3.3983 - acc: 0.1589 - ETA: 11s - loss: 3.3967 - acc: 0.1594 - ETA: 11s - loss: 3.3964 - acc: 0.1594 - ETA: 11s - loss: 3.3984 - acc: 0.1591 - ETA: 10s - loss: 3.3991 - acc: 0.1591 - ETA: 10s - loss: 3.3991 - acc: 0.1589 - ETA: 10s - loss: 3.4002 - acc: 0.1592 - ETA: 10s - loss: 3.3987 - acc: 0.1598 - ETA: 10s - loss: 3.3988 - acc: 0.1595 - ETA: 10s - loss: 3.3997 - acc: 0.1597 - ETA: 10s - loss: 3.3985 - acc: 0.1600 - ETA: 9s - loss: 3.3984 - acc: 0.1600 - ETA: 9s - loss: 3.3996 - acc: 0.1594 - ETA: 9s - loss: 3.4005 - acc: 0.1592 - ETA: 9s - loss: 3.3993 - acc: 0.1591 - ETA: 9s - loss: 3.3981 - acc: 0.1593 - ETA: 9s - loss: 3.3971 - acc: 0.1598 - ETA: 9s - loss: 3.3981 - acc: 0.1596 - ETA: 8s - loss: 3.3999 - acc: 0.1592 - ETA: 8s - loss: 3.4006 - acc: 0.1593 - ETA: 8s - loss: 3.4032 - acc: 0.1589 - ETA: 8s - loss: 3.4022 - acc: 0.1587 - ETA: 8s - loss: 3.4023 - acc: 0.1589 - ETA: 8s - loss: 3.4029 - acc: 0.1592 - ETA: 8s - loss: 3.4033 - acc: 0.1592 - ETA: 7s - loss: 3.4052 - acc: 0.1590 - ETA: 7s - loss: 3.4063 - acc: 0.1588 - ETA: 7s - loss: 3.4064 - acc: 0.1584 - ETA: 7s - loss: 3.4060 - acc: 0.1582 - ETA: 7s - loss: 3.4065 - acc: 0.1581 - ETA: 7s - loss: 3.4067 - acc: 0.1579 - ETA: 7s - loss: 3.4070 - acc: 0.1577 - ETA: 6s - loss: 3.4074 - acc: 0.1577 - ETA: 6s - loss: 3.4086 - acc: 0.1577 - ETA: 6s - loss: 3.4102 - acc: 0.1573 - ETA: 6s - loss: 3.4105 - acc: 0.1573 - ETA: 6s - loss: 3.4099 - acc: 0.1574 - ETA: 6s - loss: 3.4076 - acc: 0.1576 - ETA: 6s - loss: 3.4079 - acc: 0.1574 - ETA: 5s - loss: 3.4071 - acc: 0.1575 - ETA: 5s - loss: 3.4072 - acc: 0.1582 - ETA: 5s - loss: 3.4064 - acc: 0.1583 - ETA: 5s - loss: 3.4043 - acc: 0.1584 - ETA: 5s - loss: 3.4062 - acc: 0.1581 - ETA: 5s - loss: 3.4057 - acc: 0.1582 - ETA: 5s - loss: 3.4046 - acc: 0.1582 - ETA: 4s - loss: 3.4046 - acc: 0.1583 - ETA: 4s - loss: 3.4044 - acc: 0.1583 - ETA: 4s - loss: 3.4040 - acc: 0.1583 - ETA: 4s - loss: 3.4028 - acc: 0.1581 - ETA: 4s - loss: 3.4105 - acc: 0.1577 - ETA: 4s - loss: 3.4111 - acc: 0.1579 - ETA: 4s - loss: 3.4099 - acc: 0.1580 - ETA: 3s - loss: 3.4122 - acc: 0.1580 - ETA: 3s - loss: 3.4120 - acc: 0.1578 - ETA: 3s - loss: 3.4104 - acc: 0.1578 - ETA: 3s - loss: 3.4111 - acc: 0.1579 - ETA: 3s - loss: 3.4123 - acc: 0.1577 - ETA: 3s - loss: 3.4111 - acc: 0.1575 - ETA: 3s - loss: 3.4102 - acc: 0.1581 - ETA: 2s - loss: 3.4091 - acc: 0.1583 - ETA: 2s - loss: 3.4106 - acc: 0.1581 - ETA: 2s - loss: 3.4112 - acc: 0.1579 - ETA: 2s - loss: 3.4128 - acc: 0.1576 - ETA: 2s - loss: 3.4117 - acc: 0.1575 - ETA: 2s - loss: 3.4110 - acc: 0.1577 - ETA: 2s - loss: 3.4103 - acc: 0.1580 - ETA: 1s - loss: 3.4106 - acc: 0.1578 - ETA: 1s - loss: 3.4105 - acc: 0.1576 - ETA: 1s - loss: 3.4111 - acc: 0.1580 - ETA: 1s - loss: 3.4112 - acc: 0.1583 - ETA: 1s - loss: 3.4118 - acc: 0.1583 - ETA: 1s - loss: 3.4123 - acc: 0.1581 - ETA: 1s - loss: 3.4111 - acc: 0.1586 - ETA: 0s - loss: 3.4100 - acc: 0.1584 - ETA: 0s - loss: 3.4086 - acc: 0.1587 - ETA: 0s - loss: 3.4095 - acc: 0.1585 - ETA: 0s - loss: 3.4099 - acc: 0.1582 - ETA: 0s - loss: 3.4101 - acc: 0.1581 - ETA: 0s - loss: 3.4086 - acc: 0.1584Epoch 00033: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.4090 - acc: 0.1584 - val_loss: 3.7771 - val_acc: 0.1066 Epoch 35/40 6660/6680 [============================>.] - ETA: 50s - loss: 3.7662 - acc: 0.2500 - ETA: 53s - loss: 3.4443 - acc: 0.1750 - ETA: 51s - loss: 3.3771 - acc: 0.1500 - ETA: 49s - loss: 3.3684 - acc: 0.1250 - ETA: 49s - loss: 3.3300 - acc: 0.1300 - ETA: 48s - loss: 3.2497 - acc: 0.1583 - ETA: 48s - loss: 3.2570 - acc: 0.1500 - ETA: 47s - loss: 3.3135 - acc: 0.1563 - ETA: 47s - loss: 3.2708 - acc: 0.1611 - ETA: 47s - loss: 3.2130 - acc: 0.1700 - ETA: 46s - loss: 3.2466 - acc: 0.1545 - ETA: 46s - loss: 3.2637 - acc: 0.1708 - ETA: 46s - loss: 3.3071 - acc: 0.1654 - ETA: 46s - loss: 3.3330 - acc: 0.1571 - ETA: 46s - loss: 3.3490 - acc: 0.1633 - ETA: 45s - loss: 3.3301 - acc: 0.1625 - ETA: 45s - loss: 3.3084 - acc: 0.1647 - ETA: 45s - loss: 3.3187 - acc: 0.1639 - ETA: 45s - loss: 3.3641 - acc: 0.1632 - ETA: 45s - loss: 3.3201 - acc: 0.1775 - ETA: 45s - loss: 3.2874 - acc: 0.1762 - ETA: 44s - loss: 3.3091 - acc: 0.1795 - ETA: 44s - loss: 3.3275 - acc: 0.1761 - ETA: 44s - loss: 3.3343 - acc: 0.1729 - ETA: 44s - loss: 3.3188 - acc: 0.1820 - ETA: 44s - loss: 3.3038 - acc: 0.1846 - ETA: 44s - loss: 3.3108 - acc: 0.1833 - ETA: 44s - loss: 3.3131 - acc: 0.1804 - ETA: 44s - loss: 3.2946 - acc: 0.1845 - ETA: 43s - loss: 3.2939 - acc: 0.1817 - ETA: 43s - loss: 3.2853 - acc: 0.1823 - ETA: 43s - loss: 3.2785 - acc: 0.1797 - ETA: 43s - loss: 3.2801 - acc: 0.1773 - ETA: 43s - loss: 3.2825 - acc: 0.1750 - ETA: 43s - loss: 3.3079 - acc: 0.1743 - ETA: 42s - loss: 3.3121 - acc: 0.1736 - ETA: 42s - loss: 3.3142 - acc: 0.1716 - ETA: 42s - loss: 3.3116 - acc: 0.1724 - ETA: 42s - loss: 3.3138 - acc: 0.1718 - ETA: 42s - loss: 3.3216 - acc: 0.1738 - ETA: 42s - loss: 3.3222 - acc: 0.1744 - ETA: 42s - loss: 3.3208 - acc: 0.1762 - ETA: 41s - loss: 3.3148 - acc: 0.1756 - ETA: 41s - loss: 3.3167 - acc: 0.1750 - ETA: 41s - loss: 3.3197 - acc: 0.1744 - ETA: 41s - loss: 3.3312 - acc: 0.1707 - ETA: 41s - loss: 3.3299 - acc: 0.1713 - ETA: 41s - loss: 3.3255 - acc: 0.1719 - ETA: 41s - loss: 3.3249 - acc: 0.1704 - ETA: 40s - loss: 3.3200 - acc: 0.1700 - ETA: 40s - loss: 3.3106 - acc: 0.1725 - ETA: 40s - loss: 3.3046 - acc: 0.1740 - ETA: 40s - loss: 3.2988 - acc: 0.1774 - ETA: 40s - loss: 3.3045 - acc: 0.1759 - ETA: 40s - loss: 3.3068 - acc: 0.1791 - ETA: 40s - loss: 3.2982 - acc: 0.1813 - ETA: 40s - loss: 3.2913 - acc: 0.1833 - ETA: 39s - loss: 3.2886 - acc: 0.1845 - ETA: 39s - loss: 3.2836 - acc: 0.1864 - ETA: 39s - loss: 3.2865 - acc: 0.1842 - ETA: 39s - loss: 3.2799 - acc: 0.1836 - ETA: 39s - loss: 3.2716 - acc: 0.1847 - ETA: 39s - loss: 3.2783 - acc: 0.1857 - ETA: 38s - loss: 3.2768 - acc: 0.1867 - ETA: 38s - loss: 3.2837 - acc: 0.1862 - ETA: 38s - loss: 3.2905 - acc: 0.1856 - ETA: 38s - loss: 3.2879 - acc: 0.1836 - ETA: 38s - loss: 3.2877 - acc: 0.1824 - ETA: 38s - loss: 3.2960 - acc: 0.1826 - ETA: 38s - loss: 3.2981 - acc: 0.1829 - ETA: 37s - loss: 3.2976 - acc: 0.1824 - ETA: 37s - loss: 3.3015 - acc: 0.1819 - ETA: 37s - loss: 3.3044 - acc: 0.1815 - ETA: 37s - loss: 3.3125 - acc: 0.1811 - ETA: 37s - loss: 3.3107 - acc: 0.1807 - ETA: 37s - loss: 3.3067 - acc: 0.1809 - ETA: 37s - loss: 3.3081 - acc: 0.1812 - ETA: 36s - loss: 3.3116 - acc: 0.1814 - ETA: 36s - loss: 3.3043 - acc: 0.1823 - ETA: 36s - loss: 3.3079 - acc: 0.1819 - ETA: 36s - loss: 3.3072 - acc: 0.1815 - ETA: 36s - loss: 3.3073 - acc: 0.1817 - ETA: 36s - loss: 3.3091 - acc: 0.1813 - ETA: 35s - loss: 3.3098 - acc: 0.1815 - ETA: 35s - loss: 3.3129 - acc: 0.1806 - ETA: 35s - loss: 3.3154 - acc: 0.1808 - ETA: 35s - loss: 3.3184 - acc: 0.1828 - ETA: 35s - loss: 3.3254 - acc: 0.1813 - ETA: 35s - loss: 3.3231 - acc: 0.1809 - ETA: 35s - loss: 3.3232 - acc: 0.1806 - ETA: 34s - loss: 3.3240 - acc: 0.1808 - ETA: 34s - loss: 3.3226 - acc: 0.1804 - ETA: 34s - loss: 3.3285 - acc: 0.1790 - ETA: 34s - loss: 3.3301 - acc: 0.1782 - ETA: 34s - loss: 3.3305 - acc: 0.1779 - ETA: 34s - loss: 3.3249 - acc: 0.1781 - ETA: 34s - loss: 3.3277 - acc: 0.1768 - ETA: 33s - loss: 3.3312 - acc: 0.1760 - ETA: 33s - loss: 3.3291 - acc: 0.1758 - ETA: 33s - loss: 3.3276 - acc: 0.1750 - ETA: 33s - loss: 3.3278 - acc: 0.1757 - ETA: 33s - loss: 3.3281 - acc: 0.1745 - ETA: 33s - loss: 3.3205 - acc: 0.1752 - ETA: 33s - loss: 3.3244 - acc: 0.1745 - ETA: 32s - loss: 3.3263 - acc: 0.1733 - ETA: 32s - loss: 3.3301 - acc: 0.1736 - ETA: 32s - loss: 3.3336 - acc: 0.1734 - ETA: 32s - loss: 3.3369 - acc: 0.1727 - ETA: 32s - loss: 3.3312 - acc: 0.1734 - ETA: 32s - loss: 3.3263 - acc: 0.1741 - ETA: 32s - loss: 3.3271 - acc: 0.1743 - ETA: 31s - loss: 3.3230 - acc: 0.1737 - ETA: 31s - loss: 3.3205 - acc: 0.1739 - ETA: 31s - loss: 3.3209 - acc: 0.1732 - ETA: 31s - loss: 3.3200 - acc: 0.1748 - ETA: 31s - loss: 3.3199 - acc: 0.1737 - ETA: 31s - loss: 3.3192 - acc: 0.1735 - ETA: 31s - loss: 3.3187 - acc: 0.1725 - ETA: 30s - loss: 3.3186 - acc: 0.1727 - ETA: 30s - loss: 3.3202 - acc: 0.1721 - ETA: 30s - loss: 3.3223 - acc: 0.1715 - ETA: 30s - loss: 3.3258 - acc: 0.1713 - ETA: 30s - loss: 3.3262 - acc: 0.1711 - ETA: 30s - loss: 3.3255 - acc: 0.1714 - ETA: 30s - loss: 3.3291 - acc: 0.1708 - ETA: 29s - loss: 3.3262 - acc: 0.1714 - ETA: 29s - loss: 3.3273 - acc: 0.1717 - ETA: 29s - loss: 3.3276 - acc: 0.1711 - ETA: 29s - loss: 3.3260 - acc: 0.1717 - ETA: 29s - loss: 3.3222 - acc: 0.1727 - ETA: 29s - loss: 3.3203 - acc: 0.1729 - ETA: 29s - loss: 3.3210 - acc: 0.1735 - ETA: 28s - loss: 3.3221 - acc: 0.1744 - ETA: 28s - loss: 3.3220 - acc: 0.1739 - ETA: 28s - loss: 3.3192 - acc: 0.1737 - ETA: 28s - loss: 3.3197 - acc: 0.1735 - ETA: 28s - loss: 3.3210 - acc: 0.1730 - ETA: 28s - loss: 3.3216 - acc: 0.1732 - ETA: 28s - loss: 3.3212 - acc: 0.1734 - ETA: 27s - loss: 3.3217 - acc: 0.1732 - ETA: 27s - loss: 3.3218 - acc: 0.1730 - ETA: 27s - loss: 3.3271 - acc: 0.1718 - ETA: 27s - loss: 3.3257 - acc: 0.1717 - ETA: 27s - loss: 3.3266 - acc: 0.1715 - ETA: 27s - loss: 3.3252 - acc: 0.1717 - ETA: 26s - loss: 3.3272 - acc: 0.1709 - ETA: 26s - loss: 3.3304 - acc: 0.1697 - ETA: 26s - loss: 3.3326 - acc: 0.1693 - ETA: 26s - loss: 3.3346 - acc: 0.1685 - ETA: 26s - loss: 3.3328 - acc: 0.1687 - ETA: 26s - loss: 3.3317 - acc: 0.1679 - ETA: 26s - loss: 3.3340 - acc: 0.1674 - ETA: 25s - loss: 3.3365 - acc: 0.1670 - ETA: 25s - loss: 3.3365 - acc: 0.1672 - ETA: 25s - loss: 3.3346 - acc: 0.1674 - ETA: 25s - loss: 3.3350 - acc: 0.1667 - ETA: 25s - loss: 3.3330 - acc: 0.1662 - ETA: 25s - loss: 3.3334 - acc: 0.1665 - ETA: 25s - loss: 3.3327 - acc: 0.1676 - ETA: 24s - loss: 3.3317 - acc: 0.1675 - ETA: 24s - loss: 3.3361 - acc: 0.1665 - ETA: 24s - loss: 3.3391 - acc: 0.1667 - ETA: 24s - loss: 3.3392 - acc: 0.1660 - ETA: 24s - loss: 3.3421 - acc: 0.1652 - ETA: 24s - loss: 3.3461 - acc: 0.1645 - ETA: 24s - loss: 3.3474 - acc: 0.1648 - ETA: 23s - loss: 3.3530 - acc: 0.1641 - ETA: 23s - loss: 3.3567 - acc: 0.1634 - ETA: 23s - loss: 3.3568 - acc: 0.1636 - ETA: 23s - loss: 3.3554 - acc: 0.1638 - ETA: 23s - loss: 3.3505 - acc: 0.1646 - ETA: 23s - loss: 3.3485 - acc: 0.1645 - ETA: 23s - loss: 3.3498 - acc: 0.1650 - ETA: 23s - loss: 3.3473 - acc: 0.1652 - ETA: 22s - loss: 3.3470 - acc: 0.1646 - ETA: 22s - loss: 3.3463 - acc: 0.1645 - ETA: 22s - loss: 3.3493 - acc: 0.1638 - ETA: 22s - loss: 3.3512 - acc: 0.1629 - ETA: 22s - loss: 3.3502 - acc: 0.1626 - ETA: 22s - loss: 3.3472 - acc: 0.1639 - ETA: 22s - loss: 3.3474 - acc: 0.1649 - ETA: 21s - loss: 3.3481 - acc: 0.1648 - ETA: 21s - loss: 3.3472 - acc: 0.1648 - ETA: 21s - loss: 3.3478 - acc: 0.1652 - ETA: 21s - loss: 3.3473 - acc: 0.1657 - ETA: 21s - loss: 3.3454 - acc: 0.1653 - ETA: 21s - loss: 3.3458 - acc: 0.1652 - ETA: 20s - loss: 3.3464 - acc: 0.1649 - ETA: 20s - loss: 3.3433 - acc: 0.1651 - ETA: 20s - loss: 3.3433 - acc: 0.1653 - ETA: 20s - loss: 3.3453 - acc: 0.1654 - ETA: 20s - loss: 3.3456 - acc: 0.1656 - ETA: 20s - loss: 3.3441 - acc: 0.1661 - ETA: 20s - loss: 3.3436 - acc: 0.1660 - ETA: 19s - loss: 3.3441 - acc: 0.1662 - ETA: 19s - loss: 3.3441 - acc: 0.1661 - ETA: 19s - loss: 3.3442 - acc: 0.1655 - ETA: 19s - loss: 3.3444 - acc: 0.1649 - ETA: 19s - loss: 3.3449 - acc: 0.1648 - ETA: 19s - loss: 3.3444 - acc: 0.1648 - ETA: 19s - loss: 3.3443 - acc: 0.1649 - ETA: 18s - loss: 3.3427 - acc: 0.1651 - ETA: 18s - loss: 3.3428 - acc: 0.1648 - ETA: 18s - loss: 3.3424 - acc: 0.1647 - ETA: 18s - loss: 3.3442 - acc: 0.1644 - ETA: 18s - loss: 3.3465 - acc: 0.1641 - ETA: 18s - loss: 3.3442 - acc: 0.1643 - ETA: 18s - loss: 3.3423 - acc: 0.1654 - ETA: 17s - loss: 3.3439 - acc: 0.1653 - ETA: 17s - loss: 3.3451 - acc: 0.1652 - ETA: 17s - loss: 3.3452 - acc: 0.1649 - ETA: 17s - loss: 3.3424 - acc: 0.1658 - ETA: 17s - loss: 3.3445 - acc: 0.1653 - ETA: 17s - loss: 3.3426 - acc: 0.1657 - ETA: 17s - loss: 3.3403 - acc: 0.1658 - ETA: 16s - loss: 3.3428 - acc: 0.1655 - ETA: 16s - loss: 3.3396 - acc: 0.1659 - ETA: 16s - loss: 3.3382 - acc: 0.1661 - ETA: 16s - loss: 3.3374 - acc: 0.1664 - ETA: 16s - loss: 3.3359 - acc: 0.1666 - ETA: 16s - loss: 3.3348 - acc: 0.1665 - ETA: 16s - loss: 3.3364 - acc: 0.1662 - ETA: 15s - loss: 3.3349 - acc: 0.1661 - ETA: 15s - loss: 3.3352 - acc: 0.1661 - ETA: 15s - loss: 3.3337 - acc: 0.1660 - ETA: 15s - loss: 3.3311 - acc: 0.1666 - ETA: 15s - loss: 3.3305 - acc: 0.1670 - ETA: 15s - loss: 3.3301 - acc: 0.1669 - ETA: 15s - loss: 3.3300 - acc: 0.1670 - ETA: 14s - loss: 3.3287 - acc: 0.1672 - ETA: 14s - loss: 3.3292 - acc: 0.1673 - ETA: 14s - loss: 3.3344 - acc: 0.1670 - ETA: 14s - loss: 3.3344 - acc: 0.1667 - ETA: 14s - loss: 3.3329 - acc: 0.1671 - ETA: 14s - loss: 3.3350 - acc: 0.1666 - ETA: 14s - loss: 3.3346 - acc: 0.1667 - ETA: 13s - loss: 3.3343 - acc: 0.1671 - ETA: 13s - loss: 3.3327 - acc: 0.1676 - ETA: 13s - loss: 3.3315 - acc: 0.1676 - ETA: 13s - loss: 3.3335 - acc: 0.1673 - ETA: 13s - loss: 3.3368 - acc: 0.1670 - ETA: 13s - loss: 3.3358 - acc: 0.1680 - ETA: 13s - loss: 3.3368 - acc: 0.1673 - ETA: 12s - loss: 3.3390 - acc: 0.1668 - ETA: 12s - loss: 3.3390 - acc: 0.1671 - ETA: 12s - loss: 3.3395 - acc: 0.1669 - ETA: 12s - loss: 3.3394 - acc: 0.1664 - ETA: 12s - loss: 3.3374 - acc: 0.1663 - ETA: 12s - loss: 3.3387 - acc: 0.1663 - ETA: 12s - loss: 3.3390 - acc: 0.1662 - ETA: 11s - loss: 3.3390 - acc: 0.1659 - ETA: 11s - loss: 3.3372 - acc: 0.1665 - ETA: 11s - loss: 3.3387 - acc: 0.1662 - ETA: 11s - loss: 3.3390 - acc: 0.1659 - ETA: 11s - loss: 3.3417 - acc: 0.1661 - ETA: 11s - loss: 3.3416 - acc: 0.1660 - ETA: 11s - loss: 3.3428 - acc: 0.1660 - ETA: 10s - loss: 3.3420 - acc: 0.1659 - ETA: 10s - loss: 3.3440 - acc: 0.1658 - ETA: 10s - loss: 3.3439 - acc: 0.1656 - ETA: 10s - loss: 3.3434 - acc: 0.1655 - ETA: 10s - loss: 3.3455 - acc: 0.1651 - ETA: 10s - loss: 3.3471 - acc: 0.1650 - ETA: 10s - loss: 3.3491 - acc: 0.1648 - ETA: 9s - loss: 3.3473 - acc: 0.1649 - ETA: 9s - loss: 3.3451 - acc: 0.1648 - ETA: 9s - loss: 3.3443 - acc: 0.1648 - ETA: 9s - loss: 3.3451 - acc: 0.1651 - ETA: 9s - loss: 3.3451 - acc: 0.1651 - ETA: 9s - loss: 3.3455 - acc: 0.1650 - ETA: 9s - loss: 3.3441 - acc: 0.1651 - ETA: 8s - loss: 3.3425 - acc: 0.1654 - ETA: 8s - loss: 3.3418 - acc: 0.1652 - ETA: 8s - loss: 3.3438 - acc: 0.1648 - ETA: 8s - loss: 3.3445 - acc: 0.1645 - ETA: 8s - loss: 3.3428 - acc: 0.1650 - ETA: 8s - loss: 3.3426 - acc: 0.1650 - ETA: 8s - loss: 3.3438 - acc: 0.1644 - ETA: 7s - loss: 3.3437 - acc: 0.1645 - ETA: 7s - loss: 3.3420 - acc: 0.1648 - ETA: 7s - loss: 3.3413 - acc: 0.1646 - ETA: 7s - loss: 3.3407 - acc: 0.1647 - ETA: 7s - loss: 3.3418 - acc: 0.1641 - ETA: 7s - loss: 3.3431 - acc: 0.1643 - ETA: 7s - loss: 3.3432 - acc: 0.1642 - ETA: 6s - loss: 3.3440 - acc: 0.1640 - ETA: 6s - loss: 3.3437 - acc: 0.1641 - ETA: 6s - loss: 3.3431 - acc: 0.1644 - ETA: 6s - loss: 3.3417 - acc: 0.1649 - ETA: 6s - loss: 3.3411 - acc: 0.1647 - ETA: 6s - loss: 3.3420 - acc: 0.1644 - ETA: 6s - loss: 3.3425 - acc: 0.1640 - ETA: 5s - loss: 3.3427 - acc: 0.1642 - ETA: 5s - loss: 3.3429 - acc: 0.1646 - ETA: 5s - loss: 3.3423 - acc: 0.1649 - ETA: 5s - loss: 3.3430 - acc: 0.1644 - ETA: 5s - loss: 3.3429 - acc: 0.1648 - ETA: 5s - loss: 3.3435 - acc: 0.1649 - ETA: 5s - loss: 3.3425 - acc: 0.1651 - ETA: 4s - loss: 3.3417 - acc: 0.1650 - ETA: 4s - loss: 3.3427 - acc: 0.1651 - ETA: 4s - loss: 3.3428 - acc: 0.1651 - ETA: 4s - loss: 3.3443 - acc: 0.1650 - ETA: 4s - loss: 3.3454 - acc: 0.1648 - ETA: 4s - loss: 3.3449 - acc: 0.1648 - ETA: 4s - loss: 3.3449 - acc: 0.1647 - ETA: 3s - loss: 3.3434 - acc: 0.1651 - ETA: 3s - loss: 3.3422 - acc: 0.1656 - ETA: 3s - loss: 3.3437 - acc: 0.1652 - ETA: 3s - loss: 3.3453 - acc: 0.1647 - ETA: 3s - loss: 3.3447 - acc: 0.1646 - ETA: 3s - loss: 3.3442 - acc: 0.1646 - ETA: 3s - loss: 3.3452 - acc: 0.1641 - ETA: 2s - loss: 3.3446 - acc: 0.1642 - ETA: 2s - loss: 3.3424 - acc: 0.1648 - ETA: 2s - loss: 3.3428 - acc: 0.1650 - ETA: 2s - loss: 3.3414 - acc: 0.1651 - ETA: 2s - loss: 3.3416 - acc: 0.1651 - ETA: 2s - loss: 3.3438 - acc: 0.1649 - ETA: 2s - loss: 3.3452 - acc: 0.1647 - ETA: 1s - loss: 3.3458 - acc: 0.1646 - ETA: 1s - loss: 3.3443 - acc: 0.1648 - ETA: 1s - loss: 3.3431 - acc: 0.1653 - ETA: 1s - loss: 3.3433 - acc: 0.1651 - ETA: 1s - loss: 3.3444 - acc: 0.1652 - ETA: 1s - loss: 3.3448 - acc: 0.1661 - ETA: 1s - loss: 3.3448 - acc: 0.1659 - ETA: 0s - loss: 3.3435 - acc: 0.1663 - ETA: 0s - loss: 3.3433 - acc: 0.1661 - ETA: 0s - loss: 3.3458 - acc: 0.1656 - ETA: 0s - loss: 3.3446 - acc: 0.1654 - ETA: 0s - loss: 3.3450 - acc: 0.1654 - ETA: 0s - loss: 3.3471 - acc: 0.1650Epoch 00034: val_loss improved from 3.63451 to 3.59599, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 3.3467 - acc: 0.1650 - val_loss: 3.5960 - val_acc: 0.1437 Epoch 36/40 6660/6680 [============================>.] - ETA: 50s - loss: 3.0436 - acc: 0.3000 - ETA: 48s - loss: 3.2906 - acc: 0.3250 - ETA: 47s - loss: 3.4488 - acc: 0.2667 - ETA: 47s - loss: 3.3618 - acc: 0.2625 - ETA: 48s - loss: 3.3879 - acc: 0.2500 - ETA: 47s - loss: 3.3243 - acc: 0.2333 - ETA: 47s - loss: 3.2633 - acc: 0.2429 - ETA: 47s - loss: 3.3392 - acc: 0.2188 - ETA: 46s - loss: 3.3508 - acc: 0.2167 - ETA: 46s - loss: 3.3887 - acc: 0.2150 - ETA: 46s - loss: 3.3859 - acc: 0.2045 - ETA: 46s - loss: 3.3325 - acc: 0.2042 - ETA: 45s - loss: 3.2869 - acc: 0.2115 - ETA: 45s - loss: 3.2854 - acc: 0.2107 - ETA: 45s - loss: 3.3216 - acc: 0.1967 - ETA: 45s - loss: 3.3466 - acc: 0.1969 - ETA: 45s - loss: 3.3080 - acc: 0.2000 - ETA: 45s - loss: 3.2948 - acc: 0.2083 - ETA: 44s - loss: 3.3129 - acc: 0.2053 - ETA: 44s - loss: 3.3082 - acc: 0.2050 - ETA: 44s - loss: 3.3080 - acc: 0.2048 - ETA: 44s - loss: 3.2933 - acc: 0.2045 - ETA: 44s - loss: 3.2793 - acc: 0.2109 - ETA: 44s - loss: 3.3108 - acc: 0.2104 - ETA: 44s - loss: 3.3396 - acc: 0.2060 - ETA: 43s - loss: 3.3239 - acc: 0.2058 - ETA: 43s - loss: 3.3427 - acc: 0.2000 - ETA: 43s - loss: 3.3485 - acc: 0.1982 - ETA: 43s - loss: 3.3510 - acc: 0.2000 - ETA: 43s - loss: 3.3498 - acc: 0.1983 - ETA: 43s - loss: 3.3623 - acc: 0.1935 - ETA: 43s - loss: 3.3649 - acc: 0.1938 - ETA: 43s - loss: 3.3562 - acc: 0.1955 - ETA: 43s - loss: 3.3659 - acc: 0.1941 - ETA: 43s - loss: 3.3618 - acc: 0.1929 - ETA: 42s - loss: 3.3647 - acc: 0.1917 - ETA: 42s - loss: 3.3556 - acc: 0.1878 - ETA: 42s - loss: 3.3443 - acc: 0.1895 - ETA: 42s - loss: 3.3421 - acc: 0.1897 - ETA: 42s - loss: 3.3491 - acc: 0.1888 - ETA: 42s - loss: 3.3420 - acc: 0.1890 - ETA: 41s - loss: 3.3220 - acc: 0.1940 - ETA: 41s - loss: 3.3212 - acc: 0.1930 - ETA: 41s - loss: 3.3193 - acc: 0.1920 - ETA: 41s - loss: 3.3172 - acc: 0.1922 - ETA: 41s - loss: 3.3157 - acc: 0.1902 - ETA: 41s - loss: 3.3326 - acc: 0.1872 - ETA: 41s - loss: 3.3490 - acc: 0.1865 - ETA: 41s - loss: 3.3471 - acc: 0.1878 - ETA: 40s - loss: 3.3442 - acc: 0.1870 - ETA: 40s - loss: 3.3365 - acc: 0.1863 - ETA: 40s - loss: 3.3386 - acc: 0.1846 - ETA: 40s - loss: 3.3254 - acc: 0.1887 - ETA: 40s - loss: 3.3269 - acc: 0.1889 - ETA: 40s - loss: 3.3289 - acc: 0.1891 - ETA: 39s - loss: 3.3288 - acc: 0.1902 - ETA: 39s - loss: 3.3147 - acc: 0.1930 - ETA: 39s - loss: 3.3172 - acc: 0.1905 - ETA: 39s - loss: 3.3132 - acc: 0.1898 - ETA: 39s - loss: 3.3192 - acc: 0.1892 - ETA: 39s - loss: 3.3219 - acc: 0.1893 - ETA: 39s - loss: 3.3183 - acc: 0.1911 - ETA: 38s - loss: 3.3152 - acc: 0.1913 - ETA: 38s - loss: 3.3128 - acc: 0.1914 - ETA: 38s - loss: 3.3062 - acc: 0.1915 - ETA: 38s - loss: 3.3014 - acc: 0.1917 - ETA: 38s - loss: 3.3030 - acc: 0.1910 - ETA: 38s - loss: 3.2962 - acc: 0.1919 - ETA: 37s - loss: 3.3069 - acc: 0.1920 - ETA: 37s - loss: 3.2999 - acc: 0.1907 - ETA: 37s - loss: 3.2949 - acc: 0.1923 - ETA: 37s - loss: 3.2954 - acc: 0.1910 - ETA: 37s - loss: 3.3004 - acc: 0.1890 - ETA: 37s - loss: 3.3035 - acc: 0.1892 - ETA: 37s - loss: 3.3004 - acc: 0.1893 - ETA: 36s - loss: 3.2982 - acc: 0.1882 - ETA: 36s - loss: 3.2989 - acc: 0.1877 - ETA: 36s - loss: 3.2963 - acc: 0.1872 - ETA: 36s - loss: 3.2913 - acc: 0.1867 - ETA: 36s - loss: 3.2862 - acc: 0.1863 - ETA: 36s - loss: 3.2866 - acc: 0.1877 - ETA: 36s - loss: 3.2832 - acc: 0.1896 - ETA: 35s - loss: 3.2856 - acc: 0.1886 - ETA: 35s - loss: 3.2905 - acc: 0.1875 - ETA: 35s - loss: 3.2928 - acc: 0.1853 - ETA: 35s - loss: 3.2901 - acc: 0.1843 - ETA: 35s - loss: 3.2898 - acc: 0.1845 - ETA: 35s - loss: 3.2854 - acc: 0.1858 - ETA: 35s - loss: 3.2869 - acc: 0.1854 - ETA: 34s - loss: 3.2870 - acc: 0.1850 - ETA: 34s - loss: 3.2852 - acc: 0.1846 - ETA: 34s - loss: 3.2923 - acc: 0.1837 - ETA: 34s - loss: 3.2922 - acc: 0.1828 - ETA: 34s - loss: 3.2951 - acc: 0.1830 - ETA: 34s - loss: 3.3005 - acc: 0.1832 - ETA: 34s - loss: 3.3016 - acc: 0.1833 - ETA: 34s - loss: 3.3021 - acc: 0.1814 - ETA: 33s - loss: 3.3001 - acc: 0.1821 - ETA: 33s - loss: 3.2998 - acc: 0.1823 - ETA: 33s - loss: 3.3017 - acc: 0.1820 - ETA: 33s - loss: 3.3017 - acc: 0.1817 - ETA: 33s - loss: 3.3070 - acc: 0.1824 - ETA: 33s - loss: 3.3114 - acc: 0.1825 - ETA: 33s - loss: 3.3177 - acc: 0.1817 - ETA: 32s - loss: 3.3199 - acc: 0.1819 - ETA: 32s - loss: 3.3197 - acc: 0.1816 - ETA: 32s - loss: 3.3236 - acc: 0.1804 - ETA: 32s - loss: 3.3269 - acc: 0.1796 - ETA: 32s - loss: 3.3277 - acc: 0.1784 - ETA: 32s - loss: 3.3310 - acc: 0.1786 - ETA: 32s - loss: 3.3302 - acc: 0.1779 - ETA: 31s - loss: 3.3291 - acc: 0.1772 - ETA: 31s - loss: 3.3280 - acc: 0.1770 - ETA: 31s - loss: 3.3267 - acc: 0.1763 - ETA: 31s - loss: 3.3263 - acc: 0.1761 - ETA: 31s - loss: 3.3276 - acc: 0.1750 - ETA: 31s - loss: 3.3321 - acc: 0.1739 - ETA: 31s - loss: 3.3328 - acc: 0.1737 - ETA: 30s - loss: 3.3332 - acc: 0.1739 - ETA: 30s - loss: 3.3351 - acc: 0.1725 - ETA: 30s - loss: 3.3346 - acc: 0.1719 - ETA: 30s - loss: 3.3326 - acc: 0.1721 - ETA: 30s - loss: 3.3342 - acc: 0.1724 - ETA: 30s - loss: 3.3318 - acc: 0.1726 - ETA: 30s - loss: 3.3347 - acc: 0.1720 - ETA: 29s - loss: 3.3312 - acc: 0.1722 - ETA: 29s - loss: 3.3279 - acc: 0.1732 - ETA: 29s - loss: 3.3274 - acc: 0.1734 - ETA: 29s - loss: 3.3270 - acc: 0.1736 - ETA: 29s - loss: 3.3238 - acc: 0.1738 - ETA: 29s - loss: 3.3228 - acc: 0.1748 - ETA: 28s - loss: 3.3215 - acc: 0.1758 - ETA: 28s - loss: 3.3224 - acc: 0.1759 - ETA: 28s - loss: 3.3255 - acc: 0.1746 - ETA: 28s - loss: 3.3269 - acc: 0.1744 - ETA: 28s - loss: 3.3299 - acc: 0.1750 - ETA: 28s - loss: 3.3230 - acc: 0.1770 - ETA: 28s - loss: 3.3253 - acc: 0.1764 - ETA: 28s - loss: 3.3223 - acc: 0.1766 - ETA: 27s - loss: 3.3219 - acc: 0.1768 - ETA: 27s - loss: 3.3185 - acc: 0.1770 - ETA: 27s - loss: 3.3139 - acc: 0.1771 - ETA: 27s - loss: 3.3144 - acc: 0.1762 - ETA: 27s - loss: 3.3125 - acc: 0.1764 - ETA: 27s - loss: 3.3098 - acc: 0.1772 - ETA: 27s - loss: 3.3081 - acc: 0.1774 - ETA: 26s - loss: 3.3061 - acc: 0.1782 - ETA: 26s - loss: 3.3067 - acc: 0.1780 - ETA: 26s - loss: 3.3048 - acc: 0.1782 - ETA: 26s - loss: 3.3097 - acc: 0.1770 - ETA: 26s - loss: 3.3114 - acc: 0.1768 - ETA: 26s - loss: 3.3086 - acc: 0.1773 - ETA: 26s - loss: 3.3117 - acc: 0.1775 - ETA: 25s - loss: 3.3111 - acc: 0.1773 - ETA: 25s - loss: 3.3139 - acc: 0.1768 - ETA: 25s - loss: 3.3147 - acc: 0.1760 - ETA: 25s - loss: 3.3163 - acc: 0.1752 - ETA: 25s - loss: 3.3161 - acc: 0.1744 - ETA: 25s - loss: 3.3139 - acc: 0.1745 - ETA: 24s - loss: 3.3133 - acc: 0.1747 - ETA: 24s - loss: 3.3125 - acc: 0.1745 - ETA: 24s - loss: 3.3138 - acc: 0.1741 - ETA: 24s - loss: 3.3174 - acc: 0.1736 - ETA: 24s - loss: 3.3184 - acc: 0.1732 - ETA: 24s - loss: 3.3172 - acc: 0.1736 - ETA: 24s - loss: 3.3157 - acc: 0.1732 - ETA: 23s - loss: 3.3191 - acc: 0.1722 - ETA: 23s - loss: 3.3184 - acc: 0.1723 - ETA: 23s - loss: 3.3198 - acc: 0.1719 - ETA: 23s - loss: 3.3180 - acc: 0.1721 - ETA: 23s - loss: 3.3159 - acc: 0.1728 - ETA: 23s - loss: 3.3203 - acc: 0.1721 - ETA: 23s - loss: 3.3222 - acc: 0.1720 - ETA: 22s - loss: 3.3200 - acc: 0.1727 - ETA: 22s - loss: 3.3206 - acc: 0.1726 - ETA: 22s - loss: 3.3200 - acc: 0.1716 - ETA: 22s - loss: 3.3228 - acc: 0.1706 - ETA: 22s - loss: 3.3232 - acc: 0.1705 - ETA: 22s - loss: 3.3235 - acc: 0.1707 - ETA: 22s - loss: 3.3262 - acc: 0.1703 - ETA: 21s - loss: 3.3263 - acc: 0.1704 - ETA: 21s - loss: 3.3231 - acc: 0.1712 - ETA: 21s - loss: 3.3231 - acc: 0.1710 - ETA: 21s - loss: 3.3243 - acc: 0.1707 - ETA: 21s - loss: 3.3262 - acc: 0.1703 - ETA: 21s - loss: 3.3267 - acc: 0.1702 - ETA: 21s - loss: 3.3282 - acc: 0.1703 - ETA: 20s - loss: 3.3296 - acc: 0.1702 - ETA: 20s - loss: 3.3327 - acc: 0.1698 - ETA: 20s - loss: 3.3295 - acc: 0.1703 - ETA: 20s - loss: 3.3306 - acc: 0.1699 - ETA: 20s - loss: 3.3307 - acc: 0.1698 - ETA: 20s - loss: 3.3284 - acc: 0.1710 - ETA: 20s - loss: 3.3303 - acc: 0.1709 - ETA: 19s - loss: 3.3298 - acc: 0.1708 - ETA: 19s - loss: 3.3274 - acc: 0.1712 - ETA: 19s - loss: 3.3260 - acc: 0.1721 - ETA: 19s - loss: 3.3245 - acc: 0.1725 - ETA: 19s - loss: 3.3236 - acc: 0.1724 - ETA: 19s - loss: 3.3275 - acc: 0.1725 - ETA: 19s - loss: 3.3258 - acc: 0.1721 - ETA: 18s - loss: 3.3261 - acc: 0.1718 - ETA: 18s - loss: 3.3252 - acc: 0.1722 - ETA: 18s - loss: 3.3251 - acc: 0.1721 - ETA: 18s - loss: 3.3248 - acc: 0.1717 - ETA: 18s - loss: 3.3258 - acc: 0.1714 - ETA: 18s - loss: 3.3273 - acc: 0.1713 - ETA: 18s - loss: 3.3268 - acc: 0.1712 - ETA: 17s - loss: 3.3240 - acc: 0.1720 - ETA: 17s - loss: 3.3234 - acc: 0.1726 - ETA: 17s - loss: 3.3220 - acc: 0.1732 - ETA: 17s - loss: 3.3224 - acc: 0.1729 - ETA: 17s - loss: 3.3224 - acc: 0.1730 - ETA: 17s - loss: 3.3257 - acc: 0.1724 - ETA: 17s - loss: 3.3256 - acc: 0.1723 - ETA: 16s - loss: 3.3269 - acc: 0.1720 - ETA: 16s - loss: 3.3258 - acc: 0.1717 - ETA: 16s - loss: 3.3239 - acc: 0.1720 - ETA: 16s - loss: 3.3230 - acc: 0.1724 - ETA: 16s - loss: 3.3213 - acc: 0.1725 - ETA: 16s - loss: 3.3207 - acc: 0.1726 - ETA: 16s - loss: 3.3210 - acc: 0.1727 - ETA: 15s - loss: 3.3213 - acc: 0.1722 - ETA: 15s - loss: 3.3203 - acc: 0.1721 - ETA: 15s - loss: 3.3190 - acc: 0.1727 - ETA: 15s - loss: 3.3211 - acc: 0.1721 - ETA: 15s - loss: 3.3203 - acc: 0.1716 - ETA: 15s - loss: 3.3222 - acc: 0.1717 - ETA: 15s - loss: 3.3203 - acc: 0.1716 - ETA: 14s - loss: 3.3200 - acc: 0.1715 - ETA: 14s - loss: 3.3198 - acc: 0.1714 - ETA: 14s - loss: 3.3194 - acc: 0.1716 - ETA: 14s - loss: 3.3180 - acc: 0.1723 - ETA: 14s - loss: 3.3160 - acc: 0.1729 - ETA: 14s - loss: 3.3201 - acc: 0.1721 - ETA: 14s - loss: 3.3210 - acc: 0.1722 - ETA: 13s - loss: 3.3221 - acc: 0.1722 - ETA: 13s - loss: 3.3215 - acc: 0.1725 - ETA: 13s - loss: 3.3227 - acc: 0.1720 - ETA: 13s - loss: 3.3270 - acc: 0.1715 - ETA: 13s - loss: 3.3264 - acc: 0.1714 - ETA: 13s - loss: 3.3278 - acc: 0.1713 - ETA: 13s - loss: 3.3265 - acc: 0.1712 - ETA: 12s - loss: 3.3286 - acc: 0.1709 - ETA: 12s - loss: 3.3280 - acc: 0.1710 - ETA: 12s - loss: 3.3276 - acc: 0.1711 - ETA: 12s - loss: 3.3299 - acc: 0.1713 - ETA: 12s - loss: 3.3300 - acc: 0.1710 - ETA: 12s - loss: 3.3284 - acc: 0.1709 - ETA: 12s - loss: 3.3280 - acc: 0.1708 - ETA: 11s - loss: 3.3272 - acc: 0.1711 - ETA: 11s - loss: 3.3239 - acc: 0.1722 - ETA: 11s - loss: 3.3247 - acc: 0.1723 - ETA: 11s - loss: 3.3236 - acc: 0.1724 - ETA: 11s - loss: 3.3224 - acc: 0.1724 - ETA: 11s - loss: 3.3242 - acc: 0.1717 - ETA: 11s - loss: 3.3235 - acc: 0.1716 - ETA: 10s - loss: 3.3217 - acc: 0.1723 - ETA: 10s - loss: 3.3212 - acc: 0.1720 - ETA: 10s - loss: 3.3212 - acc: 0.1717 - ETA: 10s - loss: 3.3220 - acc: 0.1715 - ETA: 10s - loss: 3.3211 - acc: 0.1714 - ETA: 10s - loss: 3.3208 - acc: 0.1711 - ETA: 10s - loss: 3.3223 - acc: 0.1710 - ETA: 9s - loss: 3.3235 - acc: 0.1708 - ETA: 9s - loss: 3.3229 - acc: 0.1707 - ETA: 9s - loss: 3.3235 - acc: 0.1706 - ETA: 9s - loss: 3.3242 - acc: 0.1709 - ETA: 9s - loss: 3.3229 - acc: 0.1710 - ETA: 9s - loss: 3.3242 - acc: 0.1709 - ETA: 9s - loss: 3.3236 - acc: 0.1708 - ETA: 8s - loss: 3.3231 - acc: 0.1711 - ETA: 8s - loss: 3.3227 - acc: 0.1712 - ETA: 8s - loss: 3.3233 - acc: 0.1712 - ETA: 8s - loss: 3.3240 - acc: 0.1709 - ETA: 8s - loss: 3.3231 - acc: 0.1707 - ETA: 8s - loss: 3.3234 - acc: 0.1702 - ETA: 8s - loss: 3.3223 - acc: 0.1705 - ETA: 7s - loss: 3.3212 - acc: 0.1706 - ETA: 7s - loss: 3.3198 - acc: 0.1709 - ETA: 7s - loss: 3.3185 - acc: 0.1706 - ETA: 7s - loss: 3.3161 - acc: 0.1709 - ETA: 7s - loss: 3.3149 - acc: 0.1714 - ETA: 7s - loss: 3.3151 - acc: 0.1711 - ETA: 7s - loss: 3.3161 - acc: 0.1707 - ETA: 6s - loss: 3.3176 - acc: 0.1705 - ETA: 6s - loss: 3.3181 - acc: 0.1702 - ETA: 6s - loss: 3.3167 - acc: 0.1707 - ETA: 6s - loss: 3.3156 - acc: 0.1704 - ETA: 6s - loss: 3.3136 - acc: 0.1705 - ETA: 6s - loss: 3.3139 - acc: 0.1703 - ETA: 6s - loss: 3.3137 - acc: 0.1707 - ETA: 5s - loss: 3.3133 - acc: 0.1708 - ETA: 5s - loss: 3.3145 - acc: 0.1709 - ETA: 5s - loss: 3.3145 - acc: 0.1707 - ETA: 5s - loss: 3.3144 - acc: 0.1709 - ETA: 5s - loss: 3.3137 - acc: 0.1710 - ETA: 5s - loss: 3.3141 - acc: 0.1710 - ETA: 5s - loss: 3.3132 - acc: 0.1711 - ETA: 4s - loss: 3.3125 - acc: 0.1712 - ETA: 4s - loss: 3.3122 - acc: 0.1709 - ETA: 4s - loss: 3.3124 - acc: 0.1710 - ETA: 4s - loss: 3.3108 - acc: 0.1711 - ETA: 4s - loss: 3.3085 - acc: 0.1717 - ETA: 4s - loss: 3.3084 - acc: 0.1720 - ETA: 4s - loss: 3.3101 - acc: 0.1719 - ETA: 3s - loss: 3.3128 - acc: 0.1715 - ETA: 3s - loss: 3.3115 - acc: 0.1718 - ETA: 3s - loss: 3.3121 - acc: 0.1717 - ETA: 3s - loss: 3.3123 - acc: 0.1718 - ETA: 3s - loss: 3.3102 - acc: 0.1719 - ETA: 3s - loss: 3.3104 - acc: 0.1724 - ETA: 3s - loss: 3.3136 - acc: 0.1722 - ETA: 2s - loss: 3.3137 - acc: 0.1718 - ETA: 2s - loss: 3.3140 - acc: 0.1717 - ETA: 2s - loss: 3.3142 - acc: 0.1717 - ETA: 2s - loss: 3.3153 - acc: 0.1715 - ETA: 2s - loss: 3.3156 - acc: 0.1712 - ETA: 2s - loss: 3.3144 - acc: 0.1716 - ETA: 2s - loss: 3.3148 - acc: 0.1717 - ETA: 1s - loss: 3.3169 - acc: 0.1715 - ETA: 1s - loss: 3.3184 - acc: 0.1713 - ETA: 1s - loss: 3.3187 - acc: 0.1709 - ETA: 1s - loss: 3.3174 - acc: 0.1711 - ETA: 1s - loss: 3.3184 - acc: 0.1709 - ETA: 1s - loss: 3.3176 - acc: 0.1709 - ETA: 1s - loss: 3.3157 - acc: 0.1711 - ETA: 0s - loss: 3.3163 - acc: 0.1710 - ETA: 0s - loss: 3.3164 - acc: 0.1710 - ETA: 0s - loss: 3.3165 - acc: 0.1714 - ETA: 0s - loss: 3.3184 - acc: 0.1710 - ETA: 0s - loss: 3.3170 - acc: 0.1712 - ETA: 0s - loss: 3.3164 - acc: 0.1713Epoch 00035: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.3153 - acc: 0.1716 - val_loss: 3.6151 - val_acc: 0.1593 Epoch 37/40 6660/6680 [============================>.] - ETA: 51s - loss: 3.3676 - acc: 0.1500 - ETA: 48s - loss: 3.5783 - acc: 0.1500 - ETA: 48s - loss: 3.5654 - acc: 0.1000 - ETA: 47s - loss: 3.3665 - acc: 0.1625 - ETA: 47s - loss: 3.3543 - acc: 0.1400 - ETA: 46s - loss: 3.3628 - acc: 0.1417 - ETA: 46s - loss: 3.3237 - acc: 0.1500 - ETA: 46s - loss: 3.2661 - acc: 0.1688 - ETA: 46s - loss: 3.2368 - acc: 0.1889 - ETA: 46s - loss: 3.2140 - acc: 0.2000 - ETA: 46s - loss: 3.1641 - acc: 0.2091 - ETA: 46s - loss: 3.1418 - acc: 0.2167 - ETA: 46s - loss: 3.1788 - acc: 0.2192 - ETA: 45s - loss: 3.2095 - acc: 0.2071 - ETA: 45s - loss: 3.2348 - acc: 0.2000 - ETA: 45s - loss: 3.2661 - acc: 0.1938 - ETA: 45s - loss: 3.3108 - acc: 0.1882 - ETA: 45s - loss: 3.3409 - acc: 0.1861 - ETA: 44s - loss: 3.3094 - acc: 0.1868 - ETA: 44s - loss: 3.3386 - acc: 0.1850 - ETA: 44s - loss: 3.3490 - acc: 0.1786 - ETA: 44s - loss: 3.3522 - acc: 0.1795 - ETA: 44s - loss: 3.3452 - acc: 0.1848 - ETA: 44s - loss: 3.3291 - acc: 0.1854 - ETA: 44s - loss: 3.3090 - acc: 0.1860 - ETA: 43s - loss: 3.3075 - acc: 0.1865 - ETA: 43s - loss: 3.2967 - acc: 0.1889 - ETA: 43s - loss: 3.2917 - acc: 0.1893 - ETA: 43s - loss: 3.2868 - acc: 0.1914 - ETA: 43s - loss: 3.2739 - acc: 0.1933 - ETA: 43s - loss: 3.2870 - acc: 0.1935 - ETA: 43s - loss: 3.3136 - acc: 0.1891 - ETA: 43s - loss: 3.3386 - acc: 0.1864 - ETA: 42s - loss: 3.3494 - acc: 0.1824 - ETA: 42s - loss: 3.3522 - acc: 0.1814 - ETA: 42s - loss: 3.3362 - acc: 0.1819 - ETA: 42s - loss: 3.3250 - acc: 0.1824 - ETA: 42s - loss: 3.3133 - acc: 0.1829 - ETA: 42s - loss: 3.2996 - acc: 0.1872 - ETA: 42s - loss: 3.3095 - acc: 0.1863 - ETA: 41s - loss: 3.3229 - acc: 0.1854 - ETA: 41s - loss: 3.3179 - acc: 0.1869 - ETA: 41s - loss: 3.3240 - acc: 0.1849 - ETA: 41s - loss: 3.3191 - acc: 0.1875 - ETA: 41s - loss: 3.3179 - acc: 0.1867 - ETA: 41s - loss: 3.3066 - acc: 0.1891 - ETA: 40s - loss: 3.3044 - acc: 0.1872 - ETA: 40s - loss: 3.2899 - acc: 0.1875 - ETA: 40s - loss: 3.2878 - acc: 0.1878 - ETA: 40s - loss: 3.2912 - acc: 0.1870 - ETA: 40s - loss: 3.2911 - acc: 0.1892 - ETA: 40s - loss: 3.2967 - acc: 0.1856 - ETA: 40s - loss: 3.2965 - acc: 0.1849 - ETA: 39s - loss: 3.2962 - acc: 0.1833 - ETA: 39s - loss: 3.2752 - acc: 0.1882 - ETA: 39s - loss: 3.2754 - acc: 0.1893 - ETA: 39s - loss: 3.2703 - acc: 0.1904 - ETA: 39s - loss: 3.2698 - acc: 0.1897 - ETA: 39s - loss: 3.2690 - acc: 0.1890 - ETA: 39s - loss: 3.2663 - acc: 0.1908 - ETA: 38s - loss: 3.2689 - acc: 0.1902 - ETA: 38s - loss: 3.2675 - acc: 0.1895 - ETA: 38s - loss: 3.2639 - acc: 0.1897 - ETA: 38s - loss: 3.2567 - acc: 0.1922 - ETA: 38s - loss: 3.2573 - acc: 0.1908 - ETA: 38s - loss: 3.2562 - acc: 0.1902 - ETA: 38s - loss: 3.2495 - acc: 0.1896 - ETA: 37s - loss: 3.2568 - acc: 0.1875 - ETA: 37s - loss: 3.2517 - acc: 0.1877 - ETA: 37s - loss: 3.2580 - acc: 0.1857 - ETA: 37s - loss: 3.2617 - acc: 0.1859 - ETA: 37s - loss: 3.2595 - acc: 0.1854 - ETA: 37s - loss: 3.2635 - acc: 0.1856 - ETA: 37s - loss: 3.2554 - acc: 0.1872 - ETA: 36s - loss: 3.2534 - acc: 0.1880 - ETA: 36s - loss: 3.2658 - acc: 0.1868 - ETA: 36s - loss: 3.2707 - acc: 0.1857 - ETA: 36s - loss: 3.2698 - acc: 0.1865 - ETA: 36s - loss: 3.2694 - acc: 0.1861 - ETA: 36s - loss: 3.2706 - acc: 0.1850 - ETA: 36s - loss: 3.2771 - acc: 0.1858 - ETA: 35s - loss: 3.2851 - acc: 0.1841 - ETA: 35s - loss: 3.2887 - acc: 0.1837 - ETA: 35s - loss: 3.2867 - acc: 0.1845 - ETA: 35s - loss: 3.2840 - acc: 0.1853 - ETA: 35s - loss: 3.2817 - acc: 0.1884 - ETA: 35s - loss: 3.2869 - acc: 0.1868 - ETA: 35s - loss: 3.2792 - acc: 0.1886 - ETA: 34s - loss: 3.2738 - acc: 0.1893 - ETA: 34s - loss: 3.2716 - acc: 0.1894 - ETA: 34s - loss: 3.2763 - acc: 0.1885 - ETA: 34s - loss: 3.2719 - acc: 0.1891 - ETA: 34s - loss: 3.2714 - acc: 0.1882 - ETA: 34s - loss: 3.2700 - acc: 0.1883 - ETA: 33s - loss: 3.2745 - acc: 0.1879 - ETA: 33s - loss: 3.2739 - acc: 0.1885 - ETA: 33s - loss: 3.2758 - acc: 0.1881 - ETA: 33s - loss: 3.2749 - acc: 0.1878 - ETA: 33s - loss: 3.2771 - acc: 0.1869 - ETA: 33s - loss: 3.2715 - acc: 0.1880 - ETA: 33s - loss: 3.2707 - acc: 0.1901 - ETA: 32s - loss: 3.2738 - acc: 0.1887 - ETA: 32s - loss: 3.2735 - acc: 0.1888 - ETA: 32s - loss: 3.2713 - acc: 0.1880 - ETA: 32s - loss: 3.2713 - acc: 0.1871 - ETA: 32s - loss: 3.2740 - acc: 0.1868 - ETA: 32s - loss: 3.2735 - acc: 0.1874 - ETA: 32s - loss: 3.2719 - acc: 0.1880 - ETA: 32s - loss: 3.2791 - acc: 0.1876 - ETA: 31s - loss: 3.2758 - acc: 0.1873 - ETA: 31s - loss: 3.2779 - acc: 0.1874 - ETA: 31s - loss: 3.2747 - acc: 0.1884 - ETA: 31s - loss: 3.2725 - acc: 0.1894 - ETA: 31s - loss: 3.2706 - acc: 0.1890 - ETA: 31s - loss: 3.2707 - acc: 0.1878 - ETA: 30s - loss: 3.2675 - acc: 0.1888 - ETA: 30s - loss: 3.2649 - acc: 0.1893 - ETA: 30s - loss: 3.2729 - acc: 0.1886 - ETA: 30s - loss: 3.2774 - acc: 0.1887 - ETA: 30s - loss: 3.2750 - acc: 0.1896 - ETA: 30s - loss: 3.2767 - acc: 0.1901 - ETA: 30s - loss: 3.2770 - acc: 0.1898 - ETA: 29s - loss: 3.2767 - acc: 0.1886 - ETA: 29s - loss: 3.2757 - acc: 0.1883 - ETA: 29s - loss: 3.2750 - acc: 0.1880 - ETA: 29s - loss: 3.2719 - acc: 0.1881 - ETA: 29s - loss: 3.2749 - acc: 0.1878 - ETA: 29s - loss: 3.2740 - acc: 0.1875 - ETA: 29s - loss: 3.2742 - acc: 0.1868 - ETA: 28s - loss: 3.2770 - acc: 0.1873 - ETA: 28s - loss: 3.2834 - acc: 0.1863 - ETA: 28s - loss: 3.2810 - acc: 0.1864 - ETA: 28s - loss: 3.2818 - acc: 0.1857 - ETA: 28s - loss: 3.2802 - acc: 0.1851 - ETA: 28s - loss: 3.2801 - acc: 0.1856 - ETA: 28s - loss: 3.2794 - acc: 0.1853 - ETA: 28s - loss: 3.2776 - acc: 0.1850 - ETA: 27s - loss: 3.2774 - acc: 0.1848 - ETA: 27s - loss: 3.2779 - acc: 0.1842 - ETA: 27s - loss: 3.2742 - acc: 0.1846 - ETA: 27s - loss: 3.2726 - acc: 0.1840 - ETA: 27s - loss: 3.2699 - acc: 0.1852 - ETA: 27s - loss: 3.2707 - acc: 0.1843 - ETA: 27s - loss: 3.2725 - acc: 0.1847 - ETA: 26s - loss: 3.2728 - acc: 0.1838 - ETA: 26s - loss: 3.2689 - acc: 0.1839 - ETA: 26s - loss: 3.2698 - acc: 0.1833 - ETA: 26s - loss: 3.2667 - acc: 0.1848 - ETA: 26s - loss: 3.2645 - acc: 0.1849 - ETA: 26s - loss: 3.2649 - acc: 0.1850 - ETA: 26s - loss: 3.2655 - acc: 0.1851 - ETA: 25s - loss: 3.2691 - acc: 0.1849 - ETA: 25s - loss: 3.2720 - acc: 0.1837 - ETA: 25s - loss: 3.2710 - acc: 0.1834 - ETA: 25s - loss: 3.2699 - acc: 0.1839 - ETA: 25s - loss: 3.2713 - acc: 0.1837 - ETA: 25s - loss: 3.2692 - acc: 0.1838 - ETA: 25s - loss: 3.2699 - acc: 0.1839 - ETA: 24s - loss: 3.2685 - acc: 0.1843 - ETA: 24s - loss: 3.2716 - acc: 0.1844 - ETA: 24s - loss: 3.2728 - acc: 0.1839 - ETA: 24s - loss: 3.2702 - acc: 0.1846 - ETA: 24s - loss: 3.2697 - acc: 0.1847 - ETA: 24s - loss: 3.2678 - acc: 0.1845 - ETA: 24s - loss: 3.2680 - acc: 0.1842 - ETA: 23s - loss: 3.2690 - acc: 0.1840 - ETA: 23s - loss: 3.2666 - acc: 0.1832 - ETA: 23s - loss: 3.2646 - acc: 0.1827 - ETA: 23s - loss: 3.2642 - acc: 0.1831 - ETA: 23s - loss: 3.2661 - acc: 0.1826 - ETA: 23s - loss: 3.2694 - acc: 0.1827 - ETA: 23s - loss: 3.2677 - acc: 0.1828 - ETA: 22s - loss: 3.2688 - acc: 0.1829 - ETA: 22s - loss: 3.2678 - acc: 0.1822 - ETA: 22s - loss: 3.2673 - acc: 0.1823 - ETA: 22s - loss: 3.2641 - acc: 0.1830 - ETA: 22s - loss: 3.2632 - acc: 0.1822 - ETA: 22s - loss: 3.2645 - acc: 0.1826 - ETA: 22s - loss: 3.2645 - acc: 0.1821 - ETA: 21s - loss: 3.2650 - acc: 0.1822 - ETA: 21s - loss: 3.2642 - acc: 0.1829 - ETA: 21s - loss: 3.2618 - acc: 0.1835 - ETA: 21s - loss: 3.2605 - acc: 0.1836 - ETA: 21s - loss: 3.2608 - acc: 0.1832 - ETA: 21s - loss: 3.2588 - acc: 0.1835 - ETA: 21s - loss: 3.2563 - acc: 0.1833 - ETA: 20s - loss: 3.2575 - acc: 0.1834 - ETA: 20s - loss: 3.2573 - acc: 0.1840 - ETA: 20s - loss: 3.2529 - acc: 0.1852 - ETA: 20s - loss: 3.2496 - acc: 0.1847 - ETA: 20s - loss: 3.2501 - acc: 0.1846 - ETA: 20s - loss: 3.2498 - acc: 0.1852 - ETA: 20s - loss: 3.2474 - acc: 0.1852 - ETA: 19s - loss: 3.2490 - acc: 0.1848 - ETA: 19s - loss: 3.2480 - acc: 0.1849 - ETA: 19s - loss: 3.2465 - acc: 0.1847 - ETA: 19s - loss: 3.2445 - acc: 0.1845 - ETA: 19s - loss: 3.2453 - acc: 0.1848 - ETA: 19s - loss: 3.2432 - acc: 0.1847 - ETA: 19s - loss: 3.2419 - acc: 0.1850 - ETA: 18s - loss: 3.2419 - acc: 0.1853 - ETA: 18s - loss: 3.2435 - acc: 0.1854 - ETA: 18s - loss: 3.2426 - acc: 0.1850 - ETA: 18s - loss: 3.2398 - acc: 0.1855 - ETA: 18s - loss: 3.2400 - acc: 0.1859 - ETA: 18s - loss: 3.2416 - acc: 0.1859 - ETA: 18s - loss: 3.2430 - acc: 0.1853 - ETA: 17s - loss: 3.2437 - acc: 0.1853 - ETA: 17s - loss: 3.2455 - acc: 0.1849 - ETA: 17s - loss: 3.2472 - acc: 0.1848 - ETA: 17s - loss: 3.2444 - acc: 0.1848 - ETA: 17s - loss: 3.2484 - acc: 0.1840 - ETA: 17s - loss: 3.2494 - acc: 0.1843 - ETA: 17s - loss: 3.2481 - acc: 0.1848 - ETA: 16s - loss: 3.2471 - acc: 0.1847 - ETA: 16s - loss: 3.2443 - acc: 0.1854 - ETA: 16s - loss: 3.2421 - acc: 0.1857 - ETA: 16s - loss: 3.2430 - acc: 0.1858 - ETA: 16s - loss: 3.2424 - acc: 0.1861 - ETA: 16s - loss: 3.2437 - acc: 0.1859 - ETA: 16s - loss: 3.2457 - acc: 0.1855 - ETA: 15s - loss: 3.2478 - acc: 0.1851 - ETA: 15s - loss: 3.2495 - acc: 0.1848 - ETA: 15s - loss: 3.2492 - acc: 0.1839 - ETA: 15s - loss: 3.2492 - acc: 0.1842 - ETA: 15s - loss: 3.2488 - acc: 0.1850 - ETA: 15s - loss: 3.2500 - acc: 0.1850 - ETA: 15s - loss: 3.2505 - acc: 0.1853 - ETA: 14s - loss: 3.2505 - acc: 0.1856 - ETA: 14s - loss: 3.2513 - acc: 0.1854 - ETA: 14s - loss: 3.2505 - acc: 0.1855 - ETA: 14s - loss: 3.2506 - acc: 0.1853 - ETA: 14s - loss: 3.2526 - acc: 0.1848 - ETA: 14s - loss: 3.2513 - acc: 0.1853 - ETA: 14s - loss: 3.2499 - acc: 0.1860 - ETA: 13s - loss: 3.2499 - acc: 0.1860 - ETA: 13s - loss: 3.2509 - acc: 0.1857 - ETA: 13s - loss: 3.2511 - acc: 0.1857 - ETA: 13s - loss: 3.2519 - acc: 0.1856 - ETA: 13s - loss: 3.2518 - acc: 0.1860 - ETA: 13s - loss: 3.2507 - acc: 0.1861 - ETA: 13s - loss: 3.2512 - acc: 0.1860 - ETA: 12s - loss: 3.2523 - acc: 0.1854 - ETA: 12s - loss: 3.2530 - acc: 0.1859 - ETA: 12s - loss: 3.2548 - acc: 0.1859 - ETA: 12s - loss: 3.2550 - acc: 0.1856 - ETA: 12s - loss: 3.2565 - acc: 0.1858 - ETA: 12s - loss: 3.2572 - acc: 0.1855 - ETA: 12s - loss: 3.2551 - acc: 0.1855 - ETA: 11s - loss: 3.2556 - acc: 0.1860 - ETA: 11s - loss: 3.2570 - acc: 0.1857 - ETA: 11s - loss: 3.2582 - acc: 0.1853 - ETA: 11s - loss: 3.2571 - acc: 0.1852 - ETA: 11s - loss: 3.2596 - acc: 0.1844 - ETA: 11s - loss: 3.2614 - acc: 0.1841 - ETA: 11s - loss: 3.2630 - acc: 0.1838 - ETA: 10s - loss: 3.2613 - acc: 0.1846 - ETA: 10s - loss: 3.2626 - acc: 0.1843 - ETA: 10s - loss: 3.2618 - acc: 0.1846 - ETA: 10s - loss: 3.2614 - acc: 0.1844 - ETA: 10s - loss: 3.2611 - acc: 0.1845 - ETA: 10s - loss: 3.2604 - acc: 0.1844 - ETA: 10s - loss: 3.2613 - acc: 0.1840 - ETA: 9s - loss: 3.2628 - acc: 0.1837 - ETA: 9s - loss: 3.2608 - acc: 0.1838 - ETA: 9s - loss: 3.2595 - acc: 0.1836 - ETA: 9s - loss: 3.2588 - acc: 0.1843 - ETA: 9s - loss: 3.2599 - acc: 0.1841 - ETA: 9s - loss: 3.2609 - acc: 0.1836 - ETA: 9s - loss: 3.2628 - acc: 0.1833 - ETA: 8s - loss: 3.2598 - acc: 0.1836 - ETA: 8s - loss: 3.2587 - acc: 0.1836 - ETA: 8s - loss: 3.2586 - acc: 0.1839 - ETA: 8s - loss: 3.2592 - acc: 0.1836 - ETA: 8s - loss: 3.2624 - acc: 0.1831 - ETA: 8s - loss: 3.2615 - acc: 0.1832 - ETA: 8s - loss: 3.2619 - acc: 0.1830 - ETA: 7s - loss: 3.2619 - acc: 0.1827 - ETA: 7s - loss: 3.2619 - acc: 0.1823 - ETA: 7s - loss: 3.2638 - acc: 0.1823 - ETA: 7s - loss: 3.2635 - acc: 0.1826 - ETA: 7s - loss: 3.2646 - acc: 0.1826 - ETA: 7s - loss: 3.2660 - acc: 0.1822 - ETA: 7s - loss: 3.2646 - acc: 0.1820 - ETA: 6s - loss: 3.2648 - acc: 0.1818 - ETA: 6s - loss: 3.2640 - acc: 0.1816 - ETA: 6s - loss: 3.2641 - acc: 0.1819 - ETA: 6s - loss: 3.2629 - acc: 0.1819 - ETA: 6s - loss: 3.2649 - acc: 0.1817 - ETA: 6s - loss: 3.2682 - acc: 0.1812 - ETA: 6s - loss: 3.2688 - acc: 0.1808 - ETA: 5s - loss: 3.2681 - acc: 0.1808 - ETA: 5s - loss: 3.2690 - acc: 0.1807 - ETA: 5s - loss: 3.2689 - acc: 0.1806 - ETA: 5s - loss: 3.2692 - acc: 0.1808 - ETA: 5s - loss: 3.2692 - acc: 0.1809 - ETA: 5s - loss: 3.2681 - acc: 0.1813 - ETA: 5s - loss: 3.2683 - acc: 0.1807 - ETA: 4s - loss: 3.2670 - acc: 0.1811 - ETA: 4s - loss: 3.2655 - acc: 0.1810 - ETA: 4s - loss: 3.2643 - acc: 0.1807 - ETA: 4s - loss: 3.2639 - acc: 0.1806 - ETA: 4s - loss: 3.2636 - acc: 0.1807 - ETA: 4s - loss: 3.2634 - acc: 0.1809 - ETA: 4s - loss: 3.2635 - acc: 0.1808 - ETA: 3s - loss: 3.2638 - acc: 0.1807 - ETA: 3s - loss: 3.2637 - acc: 0.1808 - ETA: 3s - loss: 3.2620 - acc: 0.1812 - ETA: 3s - loss: 3.2620 - acc: 0.1814 - ETA: 3s - loss: 3.2620 - acc: 0.1818 - ETA: 3s - loss: 3.2624 - acc: 0.1814 - ETA: 3s - loss: 3.2625 - acc: 0.1813 - ETA: 2s - loss: 3.2614 - acc: 0.1816 - ETA: 2s - loss: 3.2623 - acc: 0.1814 - ETA: 2s - loss: 3.2641 - acc: 0.1814 - ETA: 2s - loss: 3.2647 - acc: 0.1816 - ETA: 2s - loss: 3.2651 - acc: 0.1812 - ETA: 2s - loss: 3.2654 - acc: 0.1814 - ETA: 2s - loss: 3.2666 - acc: 0.1815 - ETA: 1s - loss: 3.2659 - acc: 0.1816 - ETA: 1s - loss: 3.2651 - acc: 0.1822 - ETA: 1s - loss: 3.2648 - acc: 0.1821 - ETA: 1s - loss: 3.2654 - acc: 0.1819 - ETA: 1s - loss: 3.2679 - acc: 0.1816 - ETA: 1s - loss: 3.2694 - acc: 0.1814 - ETA: 1s - loss: 3.2693 - acc: 0.1816 - ETA: 0s - loss: 3.2680 - acc: 0.1818 - ETA: 0s - loss: 3.2680 - acc: 0.1819 - ETA: 0s - loss: 3.2697 - acc: 0.1813 - ETA: 0s - loss: 3.2687 - acc: 0.1814 - ETA: 0s - loss: 3.2708 - acc: 0.1810 - ETA: 0s - loss: 3.2713 - acc: 0.1809 - ETA: 0s - loss: 3.2712 - acc: 0.1808Epoch 00036: val_loss did not improve 6680/6680 [==============================] - 49s - loss: 3.2713 - acc: 0.1805 - val_loss: 3.6174 - val_acc: 0.1569 Epoch 38/40 6660/6680 [============================>.] - ETA: 43s - loss: 3.2816 - acc: 0.1500 - ETA: 46s - loss: 3.0597 - acc: 0.2000 - ETA: 46s - loss: 3.1395 - acc: 0.1833 - ETA: 46s - loss: 3.1340 - acc: 0.2000 - ETA: 46s - loss: 3.2106 - acc: 0.1800 - ETA: 46s - loss: 3.2226 - acc: 0.1917 - ETA: 47s - loss: 3.2753 - acc: 0.1786 - ETA: 47s - loss: 3.2449 - acc: 0.1813 - ETA: 47s - loss: 3.1772 - acc: 0.1778 - ETA: 46s - loss: 3.1667 - acc: 0.1800 - ETA: 46s - loss: 3.1212 - acc: 0.1909 - ETA: 46s - loss: 3.1340 - acc: 0.1958 - ETA: 46s - loss: 3.1175 - acc: 0.2000 - ETA: 46s - loss: 3.1336 - acc: 0.1929 - ETA: 45s - loss: 3.1230 - acc: 0.1967 - ETA: 45s - loss: 3.1163 - acc: 0.2000 - ETA: 45s - loss: 3.1370 - acc: 0.1971 - ETA: 45s - loss: 3.1369 - acc: 0.2028 - ETA: 45s - loss: 3.1512 - acc: 0.2053 - ETA: 45s - loss: 3.1599 - acc: 0.2075 - ETA: 44s - loss: 3.1742 - acc: 0.2095 - ETA: 44s - loss: 3.1595 - acc: 0.2068 - ETA: 44s - loss: 3.1768 - acc: 0.2000 - ETA: 44s - loss: 3.1327 - acc: 0.2063 - ETA: 44s - loss: 3.1089 - acc: 0.2200 - ETA: 44s - loss: 3.0935 - acc: 0.2212 - ETA: 43s - loss: 3.0872 - acc: 0.2222 - ETA: 43s - loss: 3.0998 - acc: 0.2214 - ETA: 43s - loss: 3.0866 - acc: 0.2241 - ETA: 43s - loss: 3.0748 - acc: 0.2233 - ETA: 43s - loss: 3.0812 - acc: 0.2210 - ETA: 43s - loss: 3.0755 - acc: 0.2219 - ETA: 43s - loss: 3.0683 - acc: 0.2242 - ETA: 43s - loss: 3.0619 - acc: 0.2235 - ETA: 42s - loss: 3.0818 - acc: 0.2229 - ETA: 42s - loss: 3.0874 - acc: 0.2222 - ETA: 42s - loss: 3.0972 - acc: 0.2203 - ETA: 42s - loss: 3.0906 - acc: 0.2184 - ETA: 42s - loss: 3.0986 - acc: 0.2179 - ETA: 42s - loss: 3.1049 - acc: 0.2163 - ETA: 41s - loss: 3.1128 - acc: 0.2134 - ETA: 41s - loss: 3.1149 - acc: 0.2107 - ETA: 41s - loss: 3.1288 - acc: 0.2081 - ETA: 41s - loss: 3.1390 - acc: 0.2068 - ETA: 41s - loss: 3.1598 - acc: 0.2044 - ETA: 41s - loss: 3.1689 - acc: 0.2033 - ETA: 41s - loss: 3.1618 - acc: 0.2043 - ETA: 40s - loss: 3.1572 - acc: 0.2052 - ETA: 40s - loss: 3.1457 - acc: 0.2112 - ETA: 40s - loss: 3.1500 - acc: 0.2070 - ETA: 40s - loss: 3.1582 - acc: 0.2059 - ETA: 40s - loss: 3.1533 - acc: 0.2077 - ETA: 40s - loss: 3.1474 - acc: 0.2066 - ETA: 40s - loss: 3.1462 - acc: 0.2074 - ETA: 39s - loss: 3.1458 - acc: 0.2055 - ETA: 39s - loss: 3.1380 - acc: 0.2071 - ETA: 39s - loss: 3.1392 - acc: 0.2053 - ETA: 39s - loss: 3.1342 - acc: 0.2043 - ETA: 39s - loss: 3.1338 - acc: 0.2051 - ETA: 39s - loss: 3.1315 - acc: 0.2050 - ETA: 39s - loss: 3.1233 - acc: 0.2074 - ETA: 38s - loss: 3.1238 - acc: 0.2097 - ETA: 38s - loss: 3.1218 - acc: 0.2071 - ETA: 38s - loss: 3.1153 - acc: 0.2070 - ETA: 38s - loss: 3.1036 - acc: 0.2092 - ETA: 38s - loss: 3.1014 - acc: 0.2098 - ETA: 38s - loss: 3.1000 - acc: 0.2090 - ETA: 38s - loss: 3.1025 - acc: 0.2096 - ETA: 37s - loss: 3.1088 - acc: 0.2094 - ETA: 37s - loss: 3.1117 - acc: 0.2086 - ETA: 37s - loss: 3.1208 - acc: 0.2077 - ETA: 37s - loss: 3.1286 - acc: 0.2056 - ETA: 37s - loss: 3.1238 - acc: 0.2068 - ETA: 37s - loss: 3.1237 - acc: 0.2081 - ETA: 37s - loss: 3.1270 - acc: 0.2067 - ETA: 36s - loss: 3.1309 - acc: 0.2059 - ETA: 36s - loss: 3.1373 - acc: 0.2045 - ETA: 36s - loss: 3.1363 - acc: 0.2038 - ETA: 36s - loss: 3.1333 - acc: 0.2038 - ETA: 36s - loss: 3.1267 - acc: 0.2063 - ETA: 36s - loss: 3.1323 - acc: 0.2074 - ETA: 36s - loss: 3.1268 - acc: 0.2091 - ETA: 35s - loss: 3.1268 - acc: 0.2084 - ETA: 35s - loss: 3.1259 - acc: 0.2083 - ETA: 35s - loss: 3.1388 - acc: 0.2076 - ETA: 35s - loss: 3.1416 - acc: 0.2076 - ETA: 35s - loss: 3.1412 - acc: 0.2069 - ETA: 35s - loss: 3.1430 - acc: 0.2057 - ETA: 35s - loss: 3.1415 - acc: 0.2056 - ETA: 34s - loss: 3.1491 - acc: 0.2033 - ETA: 34s - loss: 3.1474 - acc: 0.2033 - ETA: 34s - loss: 3.1525 - acc: 0.2022 - ETA: 34s - loss: 3.1538 - acc: 0.2022 - ETA: 34s - loss: 3.1643 - acc: 0.2016 - ETA: 34s - loss: 3.1697 - acc: 0.2005 - ETA: 33s - loss: 3.1715 - acc: 0.1995 - ETA: 33s - loss: 3.1681 - acc: 0.2005 - ETA: 33s - loss: 3.1721 - acc: 0.1995 - ETA: 33s - loss: 3.1741 - acc: 0.1980 - ETA: 33s - loss: 3.1750 - acc: 0.1975 - ETA: 33s - loss: 3.1708 - acc: 0.1980 - ETA: 33s - loss: 3.1752 - acc: 0.1975 - ETA: 32s - loss: 3.1736 - acc: 0.1981 - ETA: 32s - loss: 3.1708 - acc: 0.1990 - ETA: 32s - loss: 3.1722 - acc: 0.1990 - ETA: 32s - loss: 3.1693 - acc: 0.2005 - ETA: 32s - loss: 3.1674 - acc: 0.2009 - ETA: 32s - loss: 3.1689 - acc: 0.2009 - ETA: 32s - loss: 3.1628 - acc: 0.2023 - ETA: 31s - loss: 3.1663 - acc: 0.2018 - ETA: 31s - loss: 3.1663 - acc: 0.2014 - ETA: 31s - loss: 3.1670 - acc: 0.2018 - ETA: 31s - loss: 3.1624 - acc: 0.2018 - ETA: 31s - loss: 3.1541 - acc: 0.2018 - ETA: 31s - loss: 3.1526 - acc: 0.2022 - ETA: 31s - loss: 3.1547 - acc: 0.2017 - ETA: 30s - loss: 3.1537 - acc: 0.2017 - ETA: 30s - loss: 3.1646 - acc: 0.2021 - ETA: 30s - loss: 3.1695 - acc: 0.2013 - ETA: 30s - loss: 3.1805 - acc: 0.2013 - ETA: 30s - loss: 3.1790 - acc: 0.2012 - ETA: 30s - loss: 3.1786 - acc: 0.2008 - ETA: 30s - loss: 3.1758 - acc: 0.2016 - ETA: 29s - loss: 3.1787 - acc: 0.2012 - ETA: 29s - loss: 3.1768 - acc: 0.2016 - ETA: 29s - loss: 3.1751 - acc: 0.2008 - ETA: 29s - loss: 3.1728 - acc: 0.2008 - ETA: 29s - loss: 3.1700 - acc: 0.2023 - ETA: 29s - loss: 3.1692 - acc: 0.2019 - ETA: 29s - loss: 3.1673 - acc: 0.2027 - ETA: 28s - loss: 3.1624 - acc: 0.2038 - ETA: 28s - loss: 3.1616 - acc: 0.2038 - ETA: 28s - loss: 3.1585 - acc: 0.2038 - ETA: 28s - loss: 3.1571 - acc: 0.2041 - ETA: 28s - loss: 3.1574 - acc: 0.2033 - ETA: 28s - loss: 3.1574 - acc: 0.2022 - ETA: 28s - loss: 3.1578 - acc: 0.2022 - ETA: 27s - loss: 3.1569 - acc: 0.2025 - ETA: 27s - loss: 3.1552 - acc: 0.2029 - ETA: 27s - loss: 3.1580 - acc: 0.2025 - ETA: 27s - loss: 3.1599 - acc: 0.2025 - ETA: 27s - loss: 3.1587 - acc: 0.2025 - ETA: 27s - loss: 3.1597 - acc: 0.2028 - ETA: 27s - loss: 3.1604 - acc: 0.2024 - ETA: 26s - loss: 3.1601 - acc: 0.2021 - ETA: 26s - loss: 3.1579 - acc: 0.2021 - ETA: 26s - loss: 3.1594 - acc: 0.2031 - ETA: 26s - loss: 3.1613 - acc: 0.2034 - ETA: 26s - loss: 3.1633 - acc: 0.2030 - ETA: 26s - loss: 3.1628 - acc: 0.2030 - ETA: 26s - loss: 3.1611 - acc: 0.2036 - ETA: 25s - loss: 3.1625 - acc: 0.2036 - ETA: 25s - loss: 3.1608 - acc: 0.2036 - ETA: 25s - loss: 3.1623 - acc: 0.2036 - ETA: 25s - loss: 3.1659 - acc: 0.2029 - ETA: 25s - loss: 3.1656 - acc: 0.2026 - ETA: 25s - loss: 3.1642 - acc: 0.2035 - ETA: 25s - loss: 3.1680 - acc: 0.2032 - ETA: 24s - loss: 3.1690 - acc: 0.2038 - ETA: 24s - loss: 3.1671 - acc: 0.2038 - ETA: 24s - loss: 3.1646 - acc: 0.2034 - ETA: 24s - loss: 3.1637 - acc: 0.2037 - ETA: 24s - loss: 3.1601 - acc: 0.2040 - ETA: 24s - loss: 3.1612 - acc: 0.2034 - ETA: 24s - loss: 3.1609 - acc: 0.2030 - ETA: 23s - loss: 3.1625 - acc: 0.2030 - ETA: 23s - loss: 3.1582 - acc: 0.2039 - ETA: 23s - loss: 3.1588 - acc: 0.2033 - ETA: 23s - loss: 3.1592 - acc: 0.2027 - ETA: 23s - loss: 3.1601 - acc: 0.2026 - ETA: 23s - loss: 3.1612 - acc: 0.2020 - ETA: 23s - loss: 3.1610 - acc: 0.2012 - ETA: 22s - loss: 3.1646 - acc: 0.2006 - ETA: 22s - loss: 3.1659 - acc: 0.2009 - ETA: 22s - loss: 3.1683 - acc: 0.1997 - ETA: 22s - loss: 3.1697 - acc: 0.1989 - ETA: 22s - loss: 3.1651 - acc: 0.2000 - ETA: 22s - loss: 3.1639 - acc: 0.2000 - ETA: 22s - loss: 3.1657 - acc: 0.1997 - ETA: 21s - loss: 3.1646 - acc: 0.2000 - ETA: 21s - loss: 3.1640 - acc: 0.1997 - ETA: 21s - loss: 3.1647 - acc: 0.1997 - ETA: 21s - loss: 3.1631 - acc: 0.2003 - ETA: 21s - loss: 3.1645 - acc: 0.1997 - ETA: 21s - loss: 3.1619 - acc: 0.2003 - ETA: 21s - loss: 3.1634 - acc: 0.2005 - ETA: 20s - loss: 3.1657 - acc: 0.2000 - ETA: 20s - loss: 3.1660 - acc: 0.1997 - ETA: 20s - loss: 3.1662 - acc: 0.1997 - ETA: 20s - loss: 3.1671 - acc: 0.1995 - ETA: 20s - loss: 3.1688 - acc: 0.1990 - ETA: 20s - loss: 3.1684 - acc: 0.1987 - ETA: 20s - loss: 3.1707 - acc: 0.1987 - ETA: 19s - loss: 3.1719 - acc: 0.1979 - ETA: 19s - loss: 3.1738 - acc: 0.1974 - ETA: 19s - loss: 3.1742 - acc: 0.1972 - ETA: 19s - loss: 3.1747 - acc: 0.1970 - ETA: 19s - loss: 3.1756 - acc: 0.1975 - ETA: 19s - loss: 3.1755 - acc: 0.1977 - ETA: 19s - loss: 3.1784 - acc: 0.1970 - ETA: 18s - loss: 3.1807 - acc: 0.1968 - ETA: 18s - loss: 3.1825 - acc: 0.1960 - ETA: 18s - loss: 3.1834 - acc: 0.1958 - ETA: 18s - loss: 3.1866 - acc: 0.1956 - ETA: 18s - loss: 3.1852 - acc: 0.1956 - ETA: 18s - loss: 3.1865 - acc: 0.1951 - ETA: 18s - loss: 3.1867 - acc: 0.1954 - ETA: 17s - loss: 3.1871 - acc: 0.1950 - ETA: 17s - loss: 3.1868 - acc: 0.1950 - ETA: 17s - loss: 3.1900 - acc: 0.1940 - ETA: 17s - loss: 3.1915 - acc: 0.1936 - ETA: 17s - loss: 3.1922 - acc: 0.1934 - ETA: 17s - loss: 3.1921 - acc: 0.1930 - ETA: 17s - loss: 3.1913 - acc: 0.1930 - ETA: 17s - loss: 3.1934 - acc: 0.1933 - ETA: 16s - loss: 3.1928 - acc: 0.1931 - ETA: 16s - loss: 3.1931 - acc: 0.1933 - ETA: 16s - loss: 3.1946 - acc: 0.1931 - ETA: 16s - loss: 3.1930 - acc: 0.1932 - ETA: 16s - loss: 3.1937 - acc: 0.1934 - ETA: 16s - loss: 3.1911 - acc: 0.1939 - ETA: 16s - loss: 3.1884 - acc: 0.1948 - ETA: 15s - loss: 3.1862 - acc: 0.1960 - ETA: 15s - loss: 3.1854 - acc: 0.1962 - ETA: 15s - loss: 3.1849 - acc: 0.1962 - ETA: 15s - loss: 3.1828 - acc: 0.1965 - ETA: 15s - loss: 3.1830 - acc: 0.1965 - ETA: 15s - loss: 3.1846 - acc: 0.1969 - ETA: 14s - loss: 3.1847 - acc: 0.1969 - ETA: 14s - loss: 3.1847 - acc: 0.1970 - ETA: 14s - loss: 3.1849 - acc: 0.1972 - ETA: 14s - loss: 3.1832 - acc: 0.1972 - ETA: 14s - loss: 3.1817 - acc: 0.1972 - ETA: 14s - loss: 3.1824 - acc: 0.1970 - ETA: 14s - loss: 3.1842 - acc: 0.1968 - ETA: 14s - loss: 3.1876 - acc: 0.1968 - ETA: 13s - loss: 3.1895 - acc: 0.1966 - ETA: 13s - loss: 3.1916 - acc: 0.1966 - ETA: 13s - loss: 3.1904 - acc: 0.1962 - ETA: 13s - loss: 3.1895 - acc: 0.1963 - ETA: 13s - loss: 3.1897 - acc: 0.1963 - ETA: 13s - loss: 3.1892 - acc: 0.1963 - ETA: 13s - loss: 3.1901 - acc: 0.1965 - ETA: 12s - loss: 3.1906 - acc: 0.1965 - ETA: 12s - loss: 3.1901 - acc: 0.1963 - ETA: 12s - loss: 3.1894 - acc: 0.1965 - ETA: 12s - loss: 3.1884 - acc: 0.1966 - ETA: 12s - loss: 3.1900 - acc: 0.1970 - ETA: 12s - loss: 3.1908 - acc: 0.1966 - ETA: 12s - loss: 3.1952 - acc: 0.1960 - ETA: 11s - loss: 3.1947 - acc: 0.1960 - ETA: 11s - loss: 3.1934 - acc: 0.1962 - ETA: 11s - loss: 3.1953 - acc: 0.1960 - ETA: 11s - loss: 3.1955 - acc: 0.1959 - ETA: 11s - loss: 3.1959 - acc: 0.1957 - ETA: 11s - loss: 3.1957 - acc: 0.1961 - ETA: 11s - loss: 3.1927 - acc: 0.1965 - ETA: 10s - loss: 3.1928 - acc: 0.1963 - ETA: 10s - loss: 3.1913 - acc: 0.1969 - ETA: 10s - loss: 3.1898 - acc: 0.1969 - ETA: 10s - loss: 3.1918 - acc: 0.1969 - ETA: 10s - loss: 3.1931 - acc: 0.1969 - ETA: 10s - loss: 3.1940 - acc: 0.1966 - ETA: 10s - loss: 3.1949 - acc: 0.1966 - ETA: 9s - loss: 3.1950 - acc: 0.1962 - ETA: 9s - loss: 3.1945 - acc: 0.1961 - ETA: 9s - loss: 3.1947 - acc: 0.1957 - ETA: 9s - loss: 3.1952 - acc: 0.1955 - ETA: 9s - loss: 3.1957 - acc: 0.1952 - ETA: 9s - loss: 3.1982 - acc: 0.1948 - ETA: 9s - loss: 3.1973 - acc: 0.1946 - ETA: 8s - loss: 3.1987 - acc: 0.1945 - ETA: 8s - loss: 3.1984 - acc: 0.1947 - ETA: 8s - loss: 3.1960 - acc: 0.1953 - ETA: 8s - loss: 3.1960 - acc: 0.1960 - ETA: 8s - loss: 3.1962 - acc: 0.1957 - ETA: 8s - loss: 3.1957 - acc: 0.1957 - ETA: 8s - loss: 3.1953 - acc: 0.1951 - ETA: 7s - loss: 3.1962 - acc: 0.1955 - ETA: 7s - loss: 3.1963 - acc: 0.1952 - ETA: 7s - loss: 3.1972 - acc: 0.1959 - ETA: 7s - loss: 3.1981 - acc: 0.1954 - ETA: 7s - loss: 3.1963 - acc: 0.1958 - ETA: 7s - loss: 3.1966 - acc: 0.1954 - ETA: 7s - loss: 3.1981 - acc: 0.1954 - ETA: 6s - loss: 3.2001 - acc: 0.1951 - ETA: 6s - loss: 3.2013 - acc: 0.1946 - ETA: 6s - loss: 3.2017 - acc: 0.1946 - ETA: 6s - loss: 3.2028 - acc: 0.1945 - ETA: 6s - loss: 3.2041 - acc: 0.1941 - ETA: 6s - loss: 3.2040 - acc: 0.1940 - ETA: 6s - loss: 3.2046 - acc: 0.1937 - ETA: 5s - loss: 3.2046 - acc: 0.1939 - ETA: 5s - loss: 3.2054 - acc: 0.1940 - ETA: 5s - loss: 3.2057 - acc: 0.1939 - ETA: 5s - loss: 3.2057 - acc: 0.1938 - ETA: 5s - loss: 3.2121 - acc: 0.1936 - ETA: 5s - loss: 3.2156 - acc: 0.1931 - ETA: 5s - loss: 3.2168 - acc: 0.1928 - ETA: 4s - loss: 3.2171 - acc: 0.1930 - ETA: 4s - loss: 3.2168 - acc: 0.1930 - ETA: 4s - loss: 3.2145 - acc: 0.1935 - ETA: 4s - loss: 3.2172 - acc: 0.1932 - ETA: 4s - loss: 3.2173 - acc: 0.1933 - ETA: 4s - loss: 3.2178 - acc: 0.1930 - ETA: 4s - loss: 3.2186 - acc: 0.1931 - ETA: 3s - loss: 3.2170 - acc: 0.1936 - ETA: 3s - loss: 3.2169 - acc: 0.1937 - ETA: 3s - loss: 3.2171 - acc: 0.1939 - ETA: 3s - loss: 3.2183 - acc: 0.1935 - ETA: 3s - loss: 3.2205 - acc: 0.1934 - ETA: 3s - loss: 3.2220 - acc: 0.1936 - ETA: 3s - loss: 3.2210 - acc: 0.1938 - ETA: 2s - loss: 3.2213 - acc: 0.1938 - ETA: 2s - loss: 3.2204 - acc: 0.1937 - ETA: 2s - loss: 3.2206 - acc: 0.1937 - ETA: 2s - loss: 3.2205 - acc: 0.1938 - ETA: 2s - loss: 3.2211 - acc: 0.1934 - ETA: 2s - loss: 3.2210 - acc: 0.1934 - ETA: 2s - loss: 3.2178 - acc: 0.1939 - ETA: 1s - loss: 3.2177 - acc: 0.1939 - ETA: 1s - loss: 3.2177 - acc: 0.1936 - ETA: 1s - loss: 3.2183 - acc: 0.1932 - ETA: 1s - loss: 3.2204 - acc: 0.1932 - ETA: 1s - loss: 3.2206 - acc: 0.1928 - ETA: 1s - loss: 3.2193 - acc: 0.1934 - ETA: 1s - loss: 3.2191 - acc: 0.1936 - ETA: 0s - loss: 3.2205 - acc: 0.1933 - ETA: 0s - loss: 3.2197 - acc: 0.1933 - ETA: 0s - loss: 3.2191 - acc: 0.1932 - ETA: 0s - loss: 3.2202 - acc: 0.1931 - ETA: 0s - loss: 3.2209 - acc: 0.1929 - ETA: 0s - loss: 3.2209 - acc: 0.1929Epoch 00037: val_loss improved from 3.59599 to 3.58202, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 3.2223 - acc: 0.1931 - val_loss: 3.5820 - val_acc: 0.1461 Epoch 39/40 6660/6680 [============================>.] - ETA: 49s - loss: 3.4347 - acc: 0.0500 - ETA: 47s - loss: 3.1232 - acc: 0.1750 - ETA: 48s - loss: 3.1563 - acc: 0.1833 - ETA: 48s - loss: 3.0989 - acc: 0.1750 - ETA: 47s - loss: 3.0389 - acc: 0.2000 - ETA: 47s - loss: 3.1823 - acc: 0.2000 - ETA: 47s - loss: 3.0857 - acc: 0.2071 - ETA: 47s - loss: 3.0485 - acc: 0.2063 - ETA: 46s - loss: 3.0577 - acc: 0.1944 - ETA: 46s - loss: 3.0529 - acc: 0.2050 - ETA: 46s - loss: 3.0263 - acc: 0.2045 - ETA: 46s - loss: 3.0630 - acc: 0.1917 - ETA: 45s - loss: 3.0887 - acc: 0.1885 - ETA: 45s - loss: 3.1072 - acc: 0.1964 - ETA: 45s - loss: 3.1242 - acc: 0.1900 - ETA: 45s - loss: 3.1209 - acc: 0.1875 - ETA: 45s - loss: 3.1350 - acc: 0.1824 - ETA: 45s - loss: 3.1330 - acc: 0.1889 - ETA: 45s - loss: 3.1287 - acc: 0.1868 - ETA: 45s - loss: 3.1183 - acc: 0.1950 - ETA: 44s - loss: 3.1030 - acc: 0.1952 - ETA: 44s - loss: 3.1127 - acc: 0.2023 - ETA: 44s - loss: 3.0993 - acc: 0.2065 - ETA: 44s - loss: 3.0975 - acc: 0.2083 - ETA: 44s - loss: 3.1090 - acc: 0.2040 - ETA: 44s - loss: 3.1106 - acc: 0.2058 - ETA: 43s - loss: 3.0935 - acc: 0.2074 - ETA: 44s - loss: 3.0908 - acc: 0.2071 - ETA: 43s - loss: 3.0921 - acc: 0.2052 - ETA: 43s - loss: 3.1079 - acc: 0.2033 - ETA: 43s - loss: 3.1026 - acc: 0.2032 - ETA: 43s - loss: 3.1134 - acc: 0.2016 - ETA: 43s - loss: 3.1404 - acc: 0.2015 - ETA: 43s - loss: 3.1385 - acc: 0.2000 - ETA: 42s - loss: 3.1334 - acc: 0.2014 - ETA: 42s - loss: 3.1287 - acc: 0.2014 - ETA: 42s - loss: 3.1391 - acc: 0.1959 - ETA: 42s - loss: 3.1409 - acc: 0.1947 - ETA: 42s - loss: 3.1363 - acc: 0.1987 - ETA: 42s - loss: 3.1510 - acc: 0.1963 - ETA: 41s - loss: 3.1422 - acc: 0.1963 - ETA: 41s - loss: 3.1360 - acc: 0.1976 - ETA: 41s - loss: 3.1364 - acc: 0.1977 - ETA: 41s - loss: 3.1368 - acc: 0.1977 - ETA: 41s - loss: 3.1252 - acc: 0.2011 - ETA: 41s - loss: 3.1231 - acc: 0.1978 - ETA: 41s - loss: 3.1229 - acc: 0.1979 - ETA: 40s - loss: 3.1329 - acc: 0.1969 - ETA: 40s - loss: 3.1470 - acc: 0.1959 - ETA: 40s - loss: 3.1822 - acc: 0.1930 - ETA: 40s - loss: 3.1924 - acc: 0.1941 - ETA: 40s - loss: 3.1776 - acc: 0.1981 - ETA: 40s - loss: 3.1842 - acc: 0.1991 - ETA: 40s - loss: 3.1778 - acc: 0.2009 - ETA: 40s - loss: 3.1729 - acc: 0.2009 - ETA: 40s - loss: 3.1747 - acc: 0.2018 - ETA: 39s - loss: 3.1692 - acc: 0.2009 - ETA: 39s - loss: 3.1707 - acc: 0.2017 - ETA: 39s - loss: 3.1701 - acc: 0.2017 - ETA: 39s - loss: 3.1728 - acc: 0.2008 - ETA: 39s - loss: 3.1676 - acc: 0.2016 - ETA: 39s - loss: 3.1602 - acc: 0.2024 - ETA: 39s - loss: 3.1581 - acc: 0.2024 - ETA: 38s - loss: 3.1616 - acc: 0.2008 - ETA: 38s - loss: 3.1592 - acc: 0.2008 - ETA: 38s - loss: 3.1493 - acc: 0.2008 - ETA: 38s - loss: 3.1392 - acc: 0.2045 - ETA: 38s - loss: 3.1347 - acc: 0.2029 - ETA: 38s - loss: 3.1438 - acc: 0.2007 - ETA: 38s - loss: 3.1485 - acc: 0.2021 - ETA: 37s - loss: 3.1476 - acc: 0.2028 - ETA: 37s - loss: 3.1453 - acc: 0.2021 - ETA: 37s - loss: 3.1423 - acc: 0.2021 - ETA: 37s - loss: 3.1554 - acc: 0.2000 - ETA: 37s - loss: 3.1668 - acc: 0.1987 - ETA: 37s - loss: 3.1693 - acc: 0.1980 - ETA: 36s - loss: 3.1669 - acc: 0.1987 - ETA: 36s - loss: 3.1666 - acc: 0.1968 - ETA: 36s - loss: 3.1732 - acc: 0.1956 - ETA: 36s - loss: 3.1754 - acc: 0.1944 - ETA: 36s - loss: 3.1763 - acc: 0.1932 - ETA: 36s - loss: 3.1726 - acc: 0.1927 - ETA: 36s - loss: 3.1741 - acc: 0.1928 - ETA: 36s - loss: 3.1772 - acc: 0.1917 - ETA: 35s - loss: 3.1761 - acc: 0.1924 - ETA: 35s - loss: 3.1829 - acc: 0.1907 - ETA: 35s - loss: 3.1837 - acc: 0.1897 - ETA: 35s - loss: 3.1887 - acc: 0.1886 - ETA: 35s - loss: 3.1907 - acc: 0.1888 - ETA: 35s - loss: 3.1921 - acc: 0.1889 - ETA: 34s - loss: 3.1901 - acc: 0.1890 - ETA: 34s - loss: 3.1869 - acc: 0.1913 - ETA: 34s - loss: 3.1827 - acc: 0.1914 - ETA: 34s - loss: 3.1788 - acc: 0.1904 - ETA: 34s - loss: 3.1782 - acc: 0.1911 - ETA: 34s - loss: 3.1818 - acc: 0.1911 - ETA: 34s - loss: 3.1780 - acc: 0.1918 - ETA: 33s - loss: 3.1808 - acc: 0.1908 - ETA: 33s - loss: 3.1802 - acc: 0.1909 - ETA: 33s - loss: 3.1741 - acc: 0.1915 - ETA: 33s - loss: 3.1787 - acc: 0.1901 - ETA: 33s - loss: 3.1804 - acc: 0.1902 - ETA: 33s - loss: 3.1826 - acc: 0.1898 - ETA: 33s - loss: 3.1827 - acc: 0.1894 - ETA: 32s - loss: 3.1831 - acc: 0.1910 - ETA: 32s - loss: 3.1846 - acc: 0.1906 - ETA: 32s - loss: 3.1873 - acc: 0.1907 - ETA: 32s - loss: 3.1898 - acc: 0.1903 - ETA: 32s - loss: 3.1909 - acc: 0.1908 - ETA: 32s - loss: 3.1954 - acc: 0.1918 - ETA: 32s - loss: 3.1928 - acc: 0.1928 - ETA: 31s - loss: 3.1957 - acc: 0.1924 - ETA: 31s - loss: 3.1955 - acc: 0.1920 - ETA: 31s - loss: 3.1876 - acc: 0.1939 - ETA: 31s - loss: 3.1884 - acc: 0.1939 - ETA: 31s - loss: 3.1899 - acc: 0.1935 - ETA: 31s - loss: 3.1905 - acc: 0.1932 - ETA: 31s - loss: 3.1868 - acc: 0.1936 - ETA: 30s - loss: 3.1837 - acc: 0.1945 - ETA: 30s - loss: 3.1835 - acc: 0.1954 - ETA: 30s - loss: 3.1826 - acc: 0.1955 - ETA: 30s - loss: 3.1815 - acc: 0.1959 - ETA: 30s - loss: 3.1841 - acc: 0.1955 - ETA: 30s - loss: 3.1810 - acc: 0.1968 - ETA: 30s - loss: 3.1798 - acc: 0.1972 - ETA: 29s - loss: 3.1817 - acc: 0.1968 - ETA: 29s - loss: 3.1773 - acc: 0.1972 - ETA: 29s - loss: 3.1794 - acc: 0.1969 - ETA: 29s - loss: 3.1784 - acc: 0.1973 - ETA: 29s - loss: 3.1777 - acc: 0.1969 - ETA: 29s - loss: 3.1788 - acc: 0.1973 - ETA: 29s - loss: 3.1816 - acc: 0.1973 - ETA: 28s - loss: 3.1850 - acc: 0.1962 - ETA: 28s - loss: 3.1874 - acc: 0.1955 - ETA: 28s - loss: 3.1929 - acc: 0.1948 - ETA: 28s - loss: 3.1939 - acc: 0.1945 - ETA: 28s - loss: 3.1911 - acc: 0.1956 - ETA: 28s - loss: 3.1842 - acc: 0.1971 - ETA: 28s - loss: 3.1913 - acc: 0.1964 - ETA: 27s - loss: 3.1940 - acc: 0.1954 - ETA: 27s - loss: 3.1939 - acc: 0.1954 - ETA: 27s - loss: 3.1923 - acc: 0.1958 - ETA: 27s - loss: 3.1920 - acc: 0.1965 - ETA: 27s - loss: 3.1911 - acc: 0.1962 - ETA: 27s - loss: 3.1902 - acc: 0.1972 - ETA: 27s - loss: 3.1911 - acc: 0.1979 - ETA: 26s - loss: 3.1904 - acc: 0.1969 - ETA: 26s - loss: 3.1918 - acc: 0.1956 - ETA: 26s - loss: 3.1893 - acc: 0.1970 - ETA: 26s - loss: 3.1886 - acc: 0.1983 - ETA: 26s - loss: 3.1866 - acc: 0.1987 - ETA: 26s - loss: 3.1830 - acc: 0.1990 - ETA: 26s - loss: 3.1812 - acc: 0.1993 - ETA: 25s - loss: 3.1807 - acc: 0.1994 - ETA: 25s - loss: 3.1861 - acc: 0.1990 - ETA: 25s - loss: 3.1868 - acc: 0.1994 - ETA: 25s - loss: 3.1856 - acc: 0.2000 - ETA: 25s - loss: 3.1827 - acc: 0.2009 - ETA: 25s - loss: 3.1792 - acc: 0.2013 - ETA: 25s - loss: 3.1788 - acc: 0.2003 - ETA: 24s - loss: 3.1839 - acc: 0.2003 - ETA: 24s - loss: 3.1879 - acc: 0.1994 - ETA: 24s - loss: 3.1908 - acc: 0.1988 - ETA: 24s - loss: 3.1928 - acc: 0.1979 - ETA: 24s - loss: 3.1924 - acc: 0.1985 - ETA: 24s - loss: 3.1963 - acc: 0.1976 - ETA: 24s - loss: 3.1948 - acc: 0.1970 - ETA: 23s - loss: 3.1939 - acc: 0.1967 - ETA: 23s - loss: 3.1915 - acc: 0.1967 - ETA: 23s - loss: 3.1925 - acc: 0.1965 - ETA: 23s - loss: 3.1969 - acc: 0.1956 - ETA: 23s - loss: 3.1964 - acc: 0.1956 - ETA: 23s - loss: 3.1934 - acc: 0.1962 - ETA: 23s - loss: 3.1952 - acc: 0.1963 - ETA: 22s - loss: 3.1956 - acc: 0.1966 - ETA: 22s - loss: 3.1945 - acc: 0.1960 - ETA: 22s - loss: 3.1960 - acc: 0.1960 - ETA: 22s - loss: 3.1930 - acc: 0.1958 - ETA: 22s - loss: 3.1940 - acc: 0.1958 - ETA: 22s - loss: 3.1939 - acc: 0.1961 - ETA: 22s - loss: 3.1946 - acc: 0.1956 - ETA: 21s - loss: 3.1961 - acc: 0.1951 - ETA: 21s - loss: 3.1946 - acc: 0.1951 - ETA: 21s - loss: 3.1955 - acc: 0.1948 - ETA: 21s - loss: 3.1961 - acc: 0.1951 - ETA: 21s - loss: 3.1955 - acc: 0.1960 - ETA: 21s - loss: 3.1960 - acc: 0.1957 - ETA: 20s - loss: 3.1915 - acc: 0.1965 - ETA: 20s - loss: 3.1902 - acc: 0.1960 - ETA: 20s - loss: 3.1896 - acc: 0.1961 - ETA: 20s - loss: 3.1931 - acc: 0.1958 - ETA: 20s - loss: 3.1960 - acc: 0.1956 - ETA: 20s - loss: 3.1948 - acc: 0.1959 - ETA: 20s - loss: 3.1936 - acc: 0.1966 - ETA: 19s - loss: 3.1938 - acc: 0.1967 - ETA: 19s - loss: 3.1961 - acc: 0.1967 - ETA: 19s - loss: 3.1964 - acc: 0.1964 - ETA: 19s - loss: 3.1950 - acc: 0.1960 - ETA: 19s - loss: 3.1929 - acc: 0.1962 - ETA: 19s - loss: 3.1936 - acc: 0.1960 - ETA: 19s - loss: 3.1943 - acc: 0.1960 - ETA: 18s - loss: 3.1946 - acc: 0.1960 - ETA: 18s - loss: 3.1969 - acc: 0.1956 - ETA: 18s - loss: 3.1973 - acc: 0.1951 - ETA: 18s - loss: 3.1949 - acc: 0.1949 - ETA: 18s - loss: 3.1990 - acc: 0.1944 - ETA: 18s - loss: 3.2008 - acc: 0.1944 - ETA: 18s - loss: 3.2007 - acc: 0.1938 - ETA: 17s - loss: 3.2018 - acc: 0.1935 - ETA: 17s - loss: 3.2017 - acc: 0.1933 - ETA: 17s - loss: 3.2001 - acc: 0.1938 - ETA: 17s - loss: 3.1993 - acc: 0.1941 - ETA: 17s - loss: 3.1987 - acc: 0.1946 - ETA: 17s - loss: 3.1975 - acc: 0.1944 - ETA: 17s - loss: 3.1953 - acc: 0.1951 - ETA: 16s - loss: 3.1933 - acc: 0.1961 - ETA: 16s - loss: 3.1933 - acc: 0.1959 - ETA: 16s - loss: 3.1947 - acc: 0.1961 - ETA: 16s - loss: 3.1971 - acc: 0.1957 - ETA: 16s - loss: 3.1982 - acc: 0.1957 - ETA: 16s - loss: 3.1961 - acc: 0.1962 - ETA: 16s - loss: 3.1954 - acc: 0.1962 - ETA: 15s - loss: 3.1946 - acc: 0.1964 - ETA: 15s - loss: 3.1962 - acc: 0.1967 - ETA: 15s - loss: 3.1949 - acc: 0.1964 - ETA: 15s - loss: 3.1941 - acc: 0.1965 - ETA: 15s - loss: 3.1929 - acc: 0.1963 - ETA: 15s - loss: 3.1906 - acc: 0.1958 - ETA: 15s - loss: 3.1905 - acc: 0.1959 - ETA: 14s - loss: 3.1924 - acc: 0.1952 - ETA: 14s - loss: 3.1910 - acc: 0.1952 - ETA: 14s - loss: 3.1908 - acc: 0.1953 - ETA: 14s - loss: 3.1919 - acc: 0.1953 - ETA: 14s - loss: 3.1915 - acc: 0.1951 - ETA: 14s - loss: 3.1929 - acc: 0.1949 - ETA: 14s - loss: 3.1936 - acc: 0.1945 - ETA: 13s - loss: 3.1959 - acc: 0.1941 - ETA: 13s - loss: 3.1969 - acc: 0.1939 - ETA: 13s - loss: 3.1964 - acc: 0.1937 - ETA: 13s - loss: 3.1957 - acc: 0.1942 - ETA: 13s - loss: 3.1972 - acc: 0.1938 - ETA: 13s - loss: 3.1954 - acc: 0.1942 - ETA: 13s - loss: 3.1966 - acc: 0.1942 - ETA: 12s - loss: 3.1954 - acc: 0.1939 - ETA: 12s - loss: 3.1986 - acc: 0.1939 - ETA: 12s - loss: 3.1982 - acc: 0.1937 - ETA: 12s - loss: 3.1982 - acc: 0.1939 - ETA: 12s - loss: 3.1962 - acc: 0.1938 - ETA: 12s - loss: 3.1951 - acc: 0.1938 - ETA: 12s - loss: 3.1932 - acc: 0.1940 - ETA: 11s - loss: 3.1934 - acc: 0.1936 - ETA: 11s - loss: 3.1928 - acc: 0.1940 - ETA: 11s - loss: 3.1932 - acc: 0.1943 - ETA: 11s - loss: 3.1943 - acc: 0.1935 - ETA: 11s - loss: 3.1967 - acc: 0.1931 - ETA: 11s - loss: 3.1955 - acc: 0.1936 - ETA: 11s - loss: 3.1959 - acc: 0.1936 - ETA: 10s - loss: 3.1957 - acc: 0.1936 - ETA: 10s - loss: 3.1971 - acc: 0.1932 - ETA: 10s - loss: 3.1978 - acc: 0.1935 - ETA: 10s - loss: 3.1968 - acc: 0.1939 - ETA: 10s - loss: 3.1956 - acc: 0.1947 - ETA: 10s - loss: 3.1955 - acc: 0.1947 - ETA: 10s - loss: 3.1926 - acc: 0.1951 - ETA: 9s - loss: 3.1931 - acc: 0.1947 - ETA: 9s - loss: 3.1921 - acc: 0.1947 - ETA: 9s - loss: 3.1921 - acc: 0.1946 - ETA: 9s - loss: 3.1901 - acc: 0.1950 - ETA: 9s - loss: 3.1883 - acc: 0.1954 - ETA: 9s - loss: 3.1908 - acc: 0.1952 - ETA: 9s - loss: 3.1911 - acc: 0.1950 - ETA: 8s - loss: 3.1915 - acc: 0.1950 - ETA: 8s - loss: 3.1907 - acc: 0.1952 - ETA: 8s - loss: 3.1918 - acc: 0.1953 - ETA: 8s - loss: 3.1908 - acc: 0.1956 - ETA: 8s - loss: 3.1904 - acc: 0.1962 - ETA: 8s - loss: 3.1900 - acc: 0.1964 - ETA: 8s - loss: 3.1912 - acc: 0.1962 - ETA: 7s - loss: 3.1906 - acc: 0.1962 - ETA: 7s - loss: 3.1891 - acc: 0.1961 - ETA: 7s - loss: 3.1887 - acc: 0.1961 - ETA: 7s - loss: 3.1871 - acc: 0.1965 - ETA: 7s - loss: 3.1851 - acc: 0.1972 - ETA: 7s - loss: 3.1842 - acc: 0.1968 - ETA: 7s - loss: 3.1826 - acc: 0.1975 - ETA: 6s - loss: 3.1827 - acc: 0.1974 - ETA: 6s - loss: 3.1825 - acc: 0.1972 - ETA: 6s - loss: 3.1820 - acc: 0.1974 - ETA: 6s - loss: 3.1825 - acc: 0.1976 - ETA: 6s - loss: 3.1823 - acc: 0.1972 - ETA: 6s - loss: 3.1808 - acc: 0.1978 - ETA: 6s - loss: 3.1809 - acc: 0.1973 - ETA: 5s - loss: 3.1832 - acc: 0.1976 - ETA: 5s - loss: 3.1837 - acc: 0.1973 - ETA: 5s - loss: 3.1841 - acc: 0.1973 - ETA: 5s - loss: 3.1830 - acc: 0.1976 - ETA: 5s - loss: 3.1810 - acc: 0.1976 - ETA: 5s - loss: 3.1796 - acc: 0.1977 - ETA: 5s - loss: 3.1807 - acc: 0.1975 - ETA: 4s - loss: 3.1807 - acc: 0.1977 - ETA: 4s - loss: 3.1826 - acc: 0.1975 - ETA: 4s - loss: 3.1840 - acc: 0.1974 - ETA: 4s - loss: 3.1838 - acc: 0.1975 - ETA: 4s - loss: 3.1833 - acc: 0.1972 - ETA: 4s - loss: 3.1839 - acc: 0.1969 - ETA: 4s - loss: 3.1834 - acc: 0.1971 - ETA: 3s - loss: 3.1832 - acc: 0.1967 - ETA: 3s - loss: 3.1834 - acc: 0.1971 - ETA: 3s - loss: 3.1834 - acc: 0.1969 - ETA: 3s - loss: 3.1838 - acc: 0.1969 - ETA: 3s - loss: 3.1837 - acc: 0.1973 - ETA: 3s - loss: 3.1831 - acc: 0.1974 - ETA: 3s - loss: 3.1822 - acc: 0.1979 - ETA: 2s - loss: 3.1821 - acc: 0.1986 - ETA: 2s - loss: 3.1799 - acc: 0.1990 - ETA: 2s - loss: 3.1783 - acc: 0.1992 - ETA: 2s - loss: 3.1770 - acc: 0.1992 - ETA: 2s - loss: 3.1761 - acc: 0.1994 - ETA: 2s - loss: 3.1759 - acc: 0.1994 - ETA: 2s - loss: 3.1768 - acc: 0.1992 - ETA: 1s - loss: 3.1761 - acc: 0.1992 - ETA: 1s - loss: 3.1767 - acc: 0.1989 - ETA: 1s - loss: 3.1767 - acc: 0.1989 - ETA: 1s - loss: 3.1761 - acc: 0.1985 - ETA: 1s - loss: 3.1756 - acc: 0.1986 - ETA: 1s - loss: 3.1738 - acc: 0.1983 - ETA: 1s - loss: 3.1733 - acc: 0.1983 - ETA: 0s - loss: 3.1735 - acc: 0.1982 - ETA: 0s - loss: 3.1727 - acc: 0.1985 - ETA: 0s - loss: 3.1740 - acc: 0.1980 - ETA: 0s - loss: 3.1742 - acc: 0.1980 - ETA: 0s - loss: 3.1759 - acc: 0.1977 - ETA: 0s - loss: 3.1767 - acc: 0.1973Epoch 00038: val_loss improved from 3.58202 to 3.48691, saving model to saved_models/weights.best.from_scratch.hdf5 6680/6680 [==============================] - 50s - loss: 3.1746 - acc: 0.1978 - val_loss: 3.4869 - val_acc: 0.1617 Epoch 40/40 6660/6680 [============================>.] - ETA: 47s - loss: 2.8692 - acc: 0.1500 - ETA: 47s - loss: 3.0536 - acc: 0.2000 - ETA: 48s - loss: 2.8355 - acc: 0.2333 - ETA: 48s - loss: 2.8220 - acc: 0.2250 - ETA: 47s - loss: 2.9469 - acc: 0.2200 - ETA: 47s - loss: 2.8866 - acc: 0.2083 - ETA: 47s - loss: 2.8426 - acc: 0.2143 - ETA: 47s - loss: 3.0117 - acc: 0.1875 - ETA: 47s - loss: 3.1751 - acc: 0.1778 - ETA: 46s - loss: 3.1710 - acc: 0.1700 - ETA: 46s - loss: 3.1443 - acc: 0.1773 - ETA: 46s - loss: 3.1436 - acc: 0.1958 - ETA: 46s - loss: 3.1728 - acc: 0.1962 - ETA: 46s - loss: 3.1862 - acc: 0.1893 - ETA: 45s - loss: 3.1643 - acc: 0.1900 - ETA: 45s - loss: 3.1356 - acc: 0.1875 - ETA: 45s - loss: 3.1006 - acc: 0.1971 - ETA: 45s - loss: 3.0742 - acc: 0.2028 - ETA: 44s - loss: 3.0717 - acc: 0.2079 - ETA: 44s - loss: 3.0739 - acc: 0.2075 - ETA: 44s - loss: 3.1166 - acc: 0.2048 - ETA: 44s - loss: 3.1195 - acc: 0.2000 - ETA: 44s - loss: 3.1128 - acc: 0.2022 - ETA: 44s - loss: 3.1035 - acc: 0.2042 - ETA: 44s - loss: 3.1247 - acc: 0.2040 - ETA: 43s - loss: 3.1393 - acc: 0.1981 - ETA: 43s - loss: 3.1465 - acc: 0.1963 - ETA: 43s - loss: 3.1239 - acc: 0.1964 - ETA: 43s - loss: 3.1056 - acc: 0.2000 - ETA: 43s - loss: 3.1037 - acc: 0.1983 - ETA: 43s - loss: 3.0890 - acc: 0.2016 - ETA: 43s - loss: 3.1031 - acc: 0.2047 - ETA: 43s - loss: 3.1327 - acc: 0.2000 - ETA: 42s - loss: 3.1414 - acc: 0.2000 - ETA: 42s - loss: 3.1440 - acc: 0.1957 - ETA: 42s - loss: 3.1314 - acc: 0.2014 - ETA: 42s - loss: 3.1265 - acc: 0.2014 - ETA: 42s - loss: 3.1232 - acc: 0.2000 - ETA: 42s - loss: 3.1325 - acc: 0.2000 - ETA: 41s - loss: 3.1409 - acc: 0.1975 - ETA: 41s - loss: 3.1311 - acc: 0.1963 - ETA: 41s - loss: 3.1282 - acc: 0.1976 - ETA: 41s - loss: 3.1324 - acc: 0.1942 - ETA: 41s - loss: 3.1329 - acc: 0.1920 - ETA: 41s - loss: 3.1361 - acc: 0.1922 - ETA: 41s - loss: 3.1404 - acc: 0.1924 - ETA: 40s - loss: 3.1449 - acc: 0.1926 - ETA: 40s - loss: 3.1520 - acc: 0.1938 - ETA: 40s - loss: 3.1542 - acc: 0.1929 - ETA: 40s - loss: 3.1432 - acc: 0.1950 - ETA: 40s - loss: 3.1554 - acc: 0.1951 - ETA: 40s - loss: 3.1655 - acc: 0.1952 - ETA: 40s - loss: 3.1672 - acc: 0.1943 - ETA: 39s - loss: 3.1691 - acc: 0.1935 - ETA: 39s - loss: 3.1736 - acc: 0.1936 - ETA: 39s - loss: 3.1779 - acc: 0.1902 - ETA: 39s - loss: 3.1723 - acc: 0.1904 - ETA: 39s - loss: 3.1641 - acc: 0.1905 - ETA: 39s - loss: 3.1684 - acc: 0.1898 - ETA: 38s - loss: 3.1690 - acc: 0.1900 - ETA: 38s - loss: 3.1576 - acc: 0.1934 - ETA: 38s - loss: 3.1583 - acc: 0.1944 - ETA: 38s - loss: 3.1473 - acc: 0.1968 - ETA: 38s - loss: 3.1388 - acc: 0.2008 - ETA: 38s - loss: 3.1351 - acc: 0.2031 - ETA: 38s - loss: 3.1372 - acc: 0.2023 - ETA: 38s - loss: 3.1320 - acc: 0.2030 - ETA: 37s - loss: 3.1411 - acc: 0.2015 - ETA: 37s - loss: 3.1491 - acc: 0.1986 - ETA: 37s - loss: 3.1512 - acc: 0.1986 - ETA: 37s - loss: 3.1542 - acc: 0.1972 - ETA: 37s - loss: 3.1435 - acc: 0.2000 - ETA: 37s - loss: 3.1419 - acc: 0.1993 - ETA: 37s - loss: 3.1386 - acc: 0.1986 - ETA: 37s - loss: 3.1357 - acc: 0.2007 - ETA: 36s - loss: 3.1469 - acc: 0.1993 - ETA: 36s - loss: 3.1391 - acc: 0.2013 - ETA: 36s - loss: 3.1500 - acc: 0.2000 - ETA: 36s - loss: 3.1589 - acc: 0.1994 - ETA: 36s - loss: 3.1530 - acc: 0.1994 - ETA: 36s - loss: 3.1540 - acc: 0.1994 - ETA: 36s - loss: 3.1560 - acc: 0.1988 - ETA: 35s - loss: 3.1571 - acc: 0.1994 - ETA: 35s - loss: 3.1574 - acc: 0.2006 - ETA: 35s - loss: 3.1606 - acc: 0.1988 - ETA: 35s - loss: 3.1627 - acc: 0.1994 - ETA: 35s - loss: 3.1639 - acc: 0.1989 - ETA: 35s - loss: 3.1611 - acc: 0.2000 - ETA: 35s - loss: 3.1657 - acc: 0.2000 - ETA: 34s - loss: 3.1623 - acc: 0.2022 - ETA: 34s - loss: 3.1581 - acc: 0.2027 - ETA: 34s - loss: 3.1572 - acc: 0.2027 - ETA: 34s - loss: 3.1513 - acc: 0.2027 - ETA: 34s - loss: 3.1548 - acc: 0.2027 - ETA: 34s - loss: 3.1552 - acc: 0.2021 - ETA: 34s - loss: 3.1590 - acc: 0.2026 - ETA: 33s - loss: 3.1555 - acc: 0.2031 - ETA: 33s - loss: 3.1509 - acc: 0.2020 - ETA: 33s - loss: 3.1489 - acc: 0.2030 - ETA: 33s - loss: 3.1476 - acc: 0.2030 - ETA: 33s - loss: 3.1457 - acc: 0.2025 - ETA: 33s - loss: 3.1427 - acc: 0.2029 - ETA: 33s - loss: 3.1441 - acc: 0.2034 - ETA: 32s - loss: 3.1443 - acc: 0.2024 - ETA: 32s - loss: 3.1428 - acc: 0.2024 - ETA: 32s - loss: 3.1470 - acc: 0.2028 - ETA: 32s - loss: 3.1519 - acc: 0.2009 - ETA: 32s - loss: 3.1550 - acc: 0.2000 - ETA: 32s - loss: 3.1511 - acc: 0.2005 - ETA: 32s - loss: 3.1506 - acc: 0.2009 - ETA: 31s - loss: 3.1503 - acc: 0.2009 - ETA: 31s - loss: 3.1456 - acc: 0.2022 - ETA: 31s - loss: 3.1441 - acc: 0.2031 - ETA: 31s - loss: 3.1458 - acc: 0.2026 - ETA: 31s - loss: 3.1467 - acc: 0.2030 - ETA: 31s - loss: 3.1488 - acc: 0.2022 - ETA: 31s - loss: 3.1521 - acc: 0.2021 - ETA: 30s - loss: 3.1557 - acc: 0.2013 - ETA: 30s - loss: 3.1547 - acc: 0.2017 - ETA: 30s - loss: 3.1535 - acc: 0.2025 - ETA: 30s - loss: 3.1580 - acc: 0.2008 - ETA: 30s - loss: 3.1525 - acc: 0.2016 - ETA: 30s - loss: 3.1515 - acc: 0.2016 - ETA: 30s - loss: 3.1507 - acc: 0.2016 - ETA: 29s - loss: 3.1525 - acc: 0.2012 - ETA: 29s - loss: 3.1520 - acc: 0.2008 - ETA: 29s - loss: 3.1496 - acc: 0.2008 - ETA: 29s - loss: 3.1499 - acc: 0.2008 - ETA: 29s - loss: 3.1556 - acc: 0.2000 - ETA: 29s - loss: 3.1496 - acc: 0.2015 - ETA: 29s - loss: 3.1478 - acc: 0.2015 - ETA: 28s - loss: 3.1555 - acc: 0.2011 - ETA: 28s - loss: 3.1544 - acc: 0.2000 - ETA: 28s - loss: 3.1542 - acc: 0.2004 - ETA: 28s - loss: 3.1536 - acc: 0.2004 - ETA: 28s - loss: 3.1506 - acc: 0.2007 - ETA: 28s - loss: 3.1496 - acc: 0.2004 - ETA: 28s - loss: 3.1481 - acc: 0.2007 - ETA: 27s - loss: 3.1467 - acc: 0.2014 - ETA: 27s - loss: 3.1510 - acc: 0.2004 - ETA: 27s - loss: 3.1508 - acc: 0.2011 - ETA: 27s - loss: 3.1543 - acc: 0.2007 - ETA: 27s - loss: 3.1552 - acc: 0.2007 - ETA: 27s - loss: 3.1570 - acc: 0.2000 - ETA: 27s - loss: 3.1569 - acc: 0.2000 - ETA: 26s - loss: 3.1534 - acc: 0.2003 - ETA: 26s - loss: 3.1598 - acc: 0.1997 - ETA: 26s - loss: 3.1576 - acc: 0.2007 - ETA: 26s - loss: 3.1581 - acc: 0.2007 - ETA: 26s - loss: 3.1536 - acc: 0.2017 - ETA: 26s - loss: 3.1504 - acc: 0.2020 - ETA: 26s - loss: 3.1492 - acc: 0.2020 - ETA: 25s - loss: 3.1478 - acc: 0.2023 - ETA: 25s - loss: 3.1507 - acc: 0.2019 - ETA: 25s - loss: 3.1501 - acc: 0.2016 - ETA: 25s - loss: 3.1476 - acc: 0.2022 - ETA: 25s - loss: 3.1509 - acc: 0.2016 - ETA: 25s - loss: 3.1512 - acc: 0.2009 - ETA: 25s - loss: 3.1530 - acc: 0.2009 - ETA: 24s - loss: 3.1522 - acc: 0.2013 - ETA: 24s - loss: 3.1530 - acc: 0.2012 - ETA: 24s - loss: 3.1485 - acc: 0.2022 - ETA: 24s - loss: 3.1458 - acc: 0.2021 - ETA: 24s - loss: 3.1464 - acc: 0.2015 - ETA: 24s - loss: 3.1495 - acc: 0.2012 - ETA: 24s - loss: 3.1486 - acc: 0.2021 - ETA: 23s - loss: 3.1487 - acc: 0.2021 - ETA: 23s - loss: 3.1469 - acc: 0.2024 - ETA: 23s - loss: 3.1442 - acc: 0.2027 - ETA: 23s - loss: 3.1434 - acc: 0.2018 - ETA: 23s - loss: 3.1407 - acc: 0.2020 - ETA: 23s - loss: 3.1372 - acc: 0.2029 - ETA: 23s - loss: 3.1376 - acc: 0.2029 - ETA: 22s - loss: 3.1391 - acc: 0.2023 - ETA: 22s - loss: 3.1406 - acc: 0.2026 - ETA: 22s - loss: 3.1384 - acc: 0.2023 - ETA: 22s - loss: 3.1412 - acc: 0.2020 - ETA: 22s - loss: 3.1399 - acc: 0.2020 - ETA: 22s - loss: 3.1406 - acc: 0.2025 - ETA: 22s - loss: 3.1424 - acc: 0.2028 - ETA: 21s - loss: 3.1422 - acc: 0.2019 - ETA: 21s - loss: 3.1408 - acc: 0.2019 - ETA: 21s - loss: 3.1363 - acc: 0.2019 - ETA: 21s - loss: 3.1354 - acc: 0.2022 - ETA: 21s - loss: 3.1337 - acc: 0.2024 - ETA: 21s - loss: 3.1319 - acc: 0.2030 - ETA: 21s - loss: 3.1297 - acc: 0.2037 - ETA: 20s - loss: 3.1298 - acc: 0.2035 - ETA: 20s - loss: 3.1323 - acc: 0.2034 - ETA: 20s - loss: 3.1295 - acc: 0.2037 - ETA: 20s - loss: 3.1289 - acc: 0.2037 - ETA: 20s - loss: 3.1266 - acc: 0.2049 - ETA: 20s - loss: 3.1242 - acc: 0.2049 - ETA: 20s - loss: 3.1242 - acc: 0.2046 - ETA: 19s - loss: 3.1245 - acc: 0.2046 - ETA: 19s - loss: 3.1219 - acc: 0.2054 - ETA: 19s - loss: 3.1181 - acc: 0.2063 - ETA: 19s - loss: 3.1182 - acc: 0.2063 - ETA: 19s - loss: 3.1140 - acc: 0.2070 - ETA: 19s - loss: 3.1136 - acc: 0.2083 - ETA: 19s - loss: 3.1140 - acc: 0.2077 - ETA: 18s - loss: 3.1141 - acc: 0.2074 - ETA: 18s - loss: 3.1137 - acc: 0.2074 - ETA: 18s - loss: 3.1124 - acc: 0.2078 - ETA: 18s - loss: 3.1148 - acc: 0.2080 - ETA: 18s - loss: 3.1178 - acc: 0.2078 - ETA: 18s - loss: 3.1195 - acc: 0.2077 - ETA: 18s - loss: 3.1176 - acc: 0.2072 - ETA: 17s - loss: 3.1168 - acc: 0.2074 - ETA: 17s - loss: 3.1146 - acc: 0.2074 - ETA: 17s - loss: 3.1134 - acc: 0.2073 - ETA: 17s - loss: 3.1125 - acc: 0.2075 - ETA: 17s - loss: 3.1142 - acc: 0.2070 - ETA: 17s - loss: 3.1110 - acc: 0.2077 - ETA: 17s - loss: 3.1101 - acc: 0.2077 - ETA: 16s - loss: 3.1091 - acc: 0.2081 - ETA: 16s - loss: 3.1103 - acc: 0.2081 - ETA: 16s - loss: 3.1111 - acc: 0.2078 - ETA: 16s - loss: 3.1125 - acc: 0.2075 - ETA: 16s - loss: 3.1111 - acc: 0.2075 - ETA: 16s - loss: 3.1102 - acc: 0.2075 - ETA: 16s - loss: 3.1142 - acc: 0.2072 - ETA: 15s - loss: 3.1171 - acc: 0.2067 - ETA: 15s - loss: 3.1171 - acc: 0.2069 - ETA: 15s - loss: 3.1186 - acc: 0.2062 - ETA: 15s - loss: 3.1178 - acc: 0.2064 - ETA: 15s - loss: 3.1172 - acc: 0.2064 - ETA: 15s - loss: 3.1201 - acc: 0.2057 - ETA: 15s - loss: 3.1211 - acc: 0.2057 - ETA: 14s - loss: 3.1204 - acc: 0.2065 - ETA: 14s - loss: 3.1243 - acc: 0.2058 - ETA: 14s - loss: 3.1230 - acc: 0.2058 - ETA: 14s - loss: 3.1213 - acc: 0.2060 - ETA: 14s - loss: 3.1213 - acc: 0.2058 - ETA: 14s - loss: 3.1240 - acc: 0.2051 - ETA: 14s - loss: 3.1255 - acc: 0.2051 - ETA: 13s - loss: 3.1260 - acc: 0.2046 - ETA: 13s - loss: 3.1261 - acc: 0.2046 - ETA: 13s - loss: 3.1245 - acc: 0.2046 - ETA: 13s - loss: 3.1250 - acc: 0.2044 - ETA: 13s - loss: 3.1239 - acc: 0.2048 - ETA: 13s - loss: 3.1246 - acc: 0.2048 - ETA: 13s - loss: 3.1226 - acc: 0.2045 - ETA: 12s - loss: 3.1223 - acc: 0.2049 - ETA: 12s - loss: 3.1225 - acc: 0.2049 - ETA: 12s - loss: 3.1237 - acc: 0.2049 - ETA: 12s - loss: 3.1228 - acc: 0.2051 - ETA: 12s - loss: 3.1233 - acc: 0.2052 - ETA: 12s - loss: 3.1234 - acc: 0.2048 - ETA: 12s - loss: 3.1237 - acc: 0.2046 - ETA: 11s - loss: 3.1240 - acc: 0.2044 - ETA: 11s - loss: 3.1246 - acc: 0.2042 - ETA: 11s - loss: 3.1259 - acc: 0.2042 - ETA: 11s - loss: 3.1254 - acc: 0.2039 - ETA: 11s - loss: 3.1280 - acc: 0.2031 - ETA: 11s - loss: 3.1275 - acc: 0.2031 - ETA: 11s - loss: 3.1264 - acc: 0.2023 - ETA: 10s - loss: 3.1277 - acc: 0.2017 - ETA: 10s - loss: 3.1292 - acc: 0.2019 - ETA: 10s - loss: 3.1296 - acc: 0.2017 - ETA: 10s - loss: 3.1303 - acc: 0.2015 - ETA: 10s - loss: 3.1320 - acc: 0.2010 - ETA: 10s - loss: 3.1326 - acc: 0.2010 - ETA: 10s - loss: 3.1319 - acc: 0.2009 - ETA: 9s - loss: 3.1297 - acc: 0.2013 - ETA: 9s - loss: 3.1296 - acc: 0.2015 - ETA: 9s - loss: 3.1287 - acc: 0.2011 - ETA: 9s - loss: 3.1272 - acc: 0.2015 - ETA: 9s - loss: 3.1290 - acc: 0.2013 - ETA: 9s - loss: 3.1285 - acc: 0.2013 - ETA: 9s - loss: 3.1301 - acc: 0.2007 - ETA: 8s - loss: 3.1294 - acc: 0.2011 - ETA: 8s - loss: 3.1283 - acc: 0.2011 - ETA: 8s - loss: 3.1281 - acc: 0.2013 - ETA: 8s - loss: 3.1300 - acc: 0.2009 - ETA: 8s - loss: 3.1282 - acc: 0.2013 - ETA: 8s - loss: 3.1294 - acc: 0.2014 - ETA: 8s - loss: 3.1292 - acc: 0.2016 - ETA: 7s - loss: 3.1300 - acc: 0.2013 - ETA: 7s - loss: 3.1297 - acc: 0.2016 - ETA: 7s - loss: 3.1313 - acc: 0.2011 - ETA: 7s - loss: 3.1311 - acc: 0.2009 - ETA: 7s - loss: 3.1317 - acc: 0.2005 - ETA: 7s - loss: 3.1324 - acc: 0.2011 - ETA: 7s - loss: 3.1330 - acc: 0.2007 - ETA: 6s - loss: 3.1319 - acc: 0.2009 - ETA: 6s - loss: 3.1324 - acc: 0.2010 - ETA: 6s - loss: 3.1320 - acc: 0.2009 - ETA: 6s - loss: 3.1304 - acc: 0.2010 - ETA: 6s - loss: 3.1316 - acc: 0.2010 - ETA: 6s - loss: 3.1317 - acc: 0.2012 - ETA: 6s - loss: 3.1319 - acc: 0.2012 - ETA: 5s - loss: 3.1349 - acc: 0.2009 - ETA: 5s - loss: 3.1315 - acc: 0.2017 - ETA: 5s - loss: 3.1298 - acc: 0.2022 - ETA: 5s - loss: 3.1294 - acc: 0.2025 - ETA: 5s - loss: 3.1297 - acc: 0.2027 - ETA: 5s - loss: 3.1327 - acc: 0.2025 - ETA: 5s - loss: 3.1318 - acc: 0.2025 - ETA: 4s - loss: 3.1312 - acc: 0.2027 - ETA: 4s - loss: 3.1309 - acc: 0.2027 - ETA: 4s - loss: 3.1328 - acc: 0.2025 - ETA: 4s - loss: 3.1330 - acc: 0.2021 - ETA: 4s - loss: 3.1316 - acc: 0.2025 - ETA: 4s - loss: 3.1318 - acc: 0.2025 - ETA: 4s - loss: 3.1332 - acc: 0.2025 - ETA: 3s - loss: 3.1335 - acc: 0.2026 - ETA: 3s - loss: 3.1334 - acc: 0.2026 - ETA: 3s - loss: 3.1337 - acc: 0.2029 - ETA: 3s - loss: 3.1341 - acc: 0.2029 - ETA: 3s - loss: 3.1355 - acc: 0.2027 - ETA: 3s - loss: 3.1338 - acc: 0.2030 - ETA: 3s - loss: 3.1328 - acc: 0.2037 - ETA: 2s - loss: 3.1329 - acc: 0.2035 - ETA: 2s - loss: 3.1320 - acc: 0.2037 - ETA: 2s - loss: 3.1344 - acc: 0.2035 - ETA: 2s - loss: 3.1350 - acc: 0.2035 - ETA: 2s - loss: 3.1362 - acc: 0.2033 - ETA: 2s - loss: 3.1364 - acc: 0.2034 - ETA: 2s - loss: 3.1369 - acc: 0.2033 - ETA: 1s - loss: 3.1380 - acc: 0.2033 - ETA: 1s - loss: 3.1409 - acc: 0.2030 - ETA: 1s - loss: 3.1394 - acc: 0.2033 - ETA: 1s - loss: 3.1383 - acc: 0.2034 - ETA: 1s - loss: 3.1381 - acc: 0.2034 - ETA: 1s - loss: 3.1380 - acc: 0.2031 - ETA: 1s - loss: 3.1393 - acc: 0.2031 - ETA: 0s - loss: 3.1394 - acc: 0.2027 - ETA: 0s - loss: 3.1377 - acc: 0.2033 - ETA: 0s - loss: 3.1405 - acc: 0.2032 - ETA: 0s - loss: 3.1412 - acc: 0.2032 - ETA: 0s - loss: 3.1416 - acc: 0.2030 - ETA: 0s - loss: 3.1405 - acc: 0.2032Epoch 00039: val_loss did not improve 6680/6680 [==============================] - 50s - loss: 3.1401 - acc: 0.2034 - val_loss: 3.5230 - val_acc: 0.1760
<keras.callbacks.History at 0x1905da7b710>
model.load_weights('saved_models/weights.best.from_scratch.hdf5')
Try out your model on the test dataset of dog images. Ensure that your test accuracy is greater than 1%.
# get index of predicted dog breed for each image in test set
dog_breed_predictions = [np.argmax(model.predict(np.expand_dims(tensor, axis=0))) for tensor in test_tensors]
# report test accuracy
test_accuracy = 100*np.sum(np.array(dog_breed_predictions)==np.argmax(test_targets, axis=1))/len(dog_breed_predictions)
print('Test accuracy: %.4f%%' % test_accuracy)
Test accuracy: 20.0957%
bottleneck_features = np.load('bottleneck_features/DogVGG16Data.npz')
train_VGG16 = bottleneck_features['train']
valid_VGG16 = bottleneck_features['valid']
test_VGG16 = bottleneck_features['test']
The model uses the the pre-trained VGG-16 model as a fixed feature extractor, where the last convolutional output of VGG-16 is fed as input to our model. We only add a global average pooling layer and a fully connected layer, where the latter contains one node for each dog category and is equipped with a softmax.
VGG16_model = Sequential()
VGG16_model.add(GlobalAveragePooling2D(input_shape=train_VGG16.shape[1:]))
VGG16_model.add(Dense(133, activation='softmax'))
VGG16_model.summary()
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= global_average_pooling2d_2 ( (None, 512) 0 _________________________________________________________________ dense_3 (Dense) (None, 133) 68229 ================================================================= Total params: 68,229.0 Trainable params: 68,229.0 Non-trainable params: 0.0 _________________________________________________________________
VGG16_model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])
checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.VGG16.hdf5',
verbose=1, save_best_only=True)
VGG16_model.fit(train_VGG16, train_targets,
validation_data=(valid_VGG16, valid_targets),
epochs=20, batch_size=20, callbacks=[checkpointer], verbose=1)
Train on 6680 samples, validate on 835 samples Epoch 1/20 6600/6680 [============================>.] - ETA: 122s - loss: 15.6204 - acc: 0.0000e+00 - ETA: 15s - loss: 15.0209 - acc: 0.0056 - ETA: 11s - loss: 15.1737 - acc: 0.0038 - ETA: 9s - loss: 15.1404 - acc: 0.0056 - ETA: 8s - loss: 15.1128 - acc: 0.0068 - ETA: 7s - loss: 15.0954 - acc: 0.0054 - ETA: 6s - loss: 14.9845 - acc: 0.0109 - ETA: 5s - loss: 14.9023 - acc: 0.0128 - ETA: 5s - loss: 14.9227 - acc: 0.0131 - ETA: 5s - loss: 14.8798 - acc: 0.0152 - ETA: 5s - loss: 14.8799 - acc: 0.0160 - ETA: 5s - loss: 14.9067 - acc: 0.0151 - ETA: 5s - loss: 14.8875 - acc: 0.0149 - ETA: 4s - loss: 14.8181 - acc: 0.0183 - ETA: 4s - loss: 14.7155 - acc: 0.0232 - ETA: 4s - loss: 14.7233 - acc: 0.0229 - ETA: 4s - loss: 14.6735 - acc: 0.0253 - ETA: 4s - loss: 14.6399 - acc: 0.0253 - ETA: 4s - loss: 14.5698 - acc: 0.0273 - ETA: 3s - loss: 14.5577 - acc: 0.0285 - ETA: 3s - loss: 14.5421 - acc: 0.0289 - ETA: 3s - loss: 14.5019 - acc: 0.0291 - ETA: 3s - loss: 14.4281 - acc: 0.0301 - ETA: 3s - loss: 14.3774 - acc: 0.0335 - ETA: 3s - loss: 14.3153 - acc: 0.0338 - ETA: 3s - loss: 14.2827 - acc: 0.0361 - ETA: 3s - loss: 14.2393 - acc: 0.0391 - ETA: 3s - loss: 14.1901 - acc: 0.0409 - ETA: 3s - loss: 14.1235 - acc: 0.0439 - ETA: 3s - loss: 14.1064 - acc: 0.0449 - ETA: 3s - loss: 14.0865 - acc: 0.0446 - ETA: 2s - loss: 14.0674 - acc: 0.0458 - ETA: 2s - loss: 14.0129 - acc: 0.0476 - ETA: 2s - loss: 13.9615 - acc: 0.0500 - ETA: 2s - loss: 13.9198 - acc: 0.0525 - ETA: 2s - loss: 13.8995 - acc: 0.0534 - ETA: 2s - loss: 13.8396 - acc: 0.0545 - ETA: 2s - loss: 13.8209 - acc: 0.0557 - ETA: 2s - loss: 13.7670 - acc: 0.0575 - ETA: 2s - loss: 13.7296 - acc: 0.0579 - ETA: 2s - loss: 13.6878 - acc: 0.0595 - ETA: 2s - loss: 13.6328 - acc: 0.0608 - ETA: 2s - loss: 13.6150 - acc: 0.0612 - ETA: 2s - loss: 13.5529 - acc: 0.0629 - ETA: 1s - loss: 13.5187 - acc: 0.0636 - ETA: 1s - loss: 13.4704 - acc: 0.0650 - ETA: 1s - loss: 13.4378 - acc: 0.0670 - ETA: 1s - loss: 13.4091 - acc: 0.0683 - ETA: 1s - loss: 13.3589 - acc: 0.0705 - ETA: 1s - loss: 13.3271 - acc: 0.0722 - ETA: 1s - loss: 13.3048 - acc: 0.0729 - ETA: 1s - loss: 13.2783 - acc: 0.0745 - ETA: 1s - loss: 13.2379 - acc: 0.0766 - ETA: 1s - loss: 13.1842 - acc: 0.0791 - ETA: 1s - loss: 13.1551 - acc: 0.0808 - ETA: 1s - loss: 13.1120 - acc: 0.0831 - ETA: 1s - loss: 13.0715 - acc: 0.0854 - ETA: 1s - loss: 13.0154 - acc: 0.0890 - ETA: 0s - loss: 12.9798 - acc: 0.0907 - ETA: 0s - loss: 12.9439 - acc: 0.0914 - ETA: 0s - loss: 12.9093 - acc: 0.0928 - ETA: 0s - loss: 12.8826 - acc: 0.0936 - ETA: 0s - loss: 12.8295 - acc: 0.0962 - ETA: 0s - loss: 12.7942 - acc: 0.0968 - ETA: 0s - loss: 12.7625 - acc: 0.0982 - ETA: 0s - loss: 12.7293 - acc: 0.0995 - ETA: 0s - loss: 12.7017 - acc: 0.1006 - ETA: 0s - loss: 12.6931 - acc: 0.1010 - ETA: 0s - loss: 12.6683 - acc: 0.1022 - ETA: 0s - loss: 12.6239 - acc: 0.1044 - ETA: 0s - loss: 12.5953 - acc: 0.1052 - ETA: 0s - loss: 12.5533 - acc: 0.1065Epoch 00000: val_loss improved from inf to 10.63390, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 5s - loss: 12.5085 - acc: 0.1088 - val_loss: 10.6339 - val_acc: 0.2036 Epoch 2/20 6560/6680 [============================>.] - ETA: 10s - loss: 7.9988 - acc: 0.4000 - ETA: 8s - loss: 10.1964 - acc: 0.2625 - ETA: 6s - loss: 10.1983 - acc: 0.2500 - ETA: 4s - loss: 10.1913 - acc: 0.2714 - ETA: 4s - loss: 10.3816 - acc: 0.2605 - ETA: 4s - loss: 10.5189 - acc: 0.2560 - ETA: 3s - loss: 10.4284 - acc: 0.2677 - ETA: 3s - loss: 10.3324 - acc: 0.2679 - ETA: 3s - loss: 10.4298 - acc: 0.2685 - ETA: 3s - loss: 10.3806 - acc: 0.2686 - ETA: 2s - loss: 10.4098 - acc: 0.2638 - ETA: 3s - loss: 10.4512 - acc: 0.2608 - ETA: 3s - loss: 10.3632 - acc: 0.2646 - ETA: 3s - loss: 10.3665 - acc: 0.2638 - ETA: 2s - loss: 10.3923 - acc: 0.2612 - ETA: 2s - loss: 10.3618 - acc: 0.2639 - ETA: 3s - loss: 10.3950 - acc: 0.2623 - ETA: 2s - loss: 10.3548 - acc: 0.2674 - ETA: 3s - loss: 10.3818 - acc: 0.2670 - ETA: 2s - loss: 10.3378 - acc: 0.2661 - ETA: 3s - loss: 10.2622 - acc: 0.2706 - ETA: 2s - loss: 10.2732 - acc: 0.2686 - ETA: 2s - loss: 10.2788 - acc: 0.2670 - ETA: 2s - loss: 10.1980 - acc: 0.2703 - ETA: 2s - loss: 10.1745 - acc: 0.2726 - ETA: 2s - loss: 10.1959 - acc: 0.2688 - ETA: 2s - loss: 10.1772 - acc: 0.2697 - ETA: 2s - loss: 10.1867 - acc: 0.2697 - ETA: 2s - loss: 10.1685 - acc: 0.2717 - ETA: 2s - loss: 10.1595 - acc: 0.2723 - ETA: 2s - loss: 10.1349 - acc: 0.2735 - ETA: 2s - loss: 10.1103 - acc: 0.2747 - ETA: 2s - loss: 10.0920 - acc: 0.2768 - ETA: 2s - loss: 10.1342 - acc: 0.2755 - ETA: 2s - loss: 10.1230 - acc: 0.2764 - ETA: 2s - loss: 10.1278 - acc: 0.2767 - ETA: 2s - loss: 10.1253 - acc: 0.2768 - ETA: 2s - loss: 10.1576 - acc: 0.2744 - ETA: 2s - loss: 10.1430 - acc: 0.2746 - ETA: 2s - loss: 10.1538 - acc: 0.2739 - ETA: 2s - loss: 10.1672 - acc: 0.2736 - ETA: 2s - loss: 10.1502 - acc: 0.2751 - ETA: 1s - loss: 10.1637 - acc: 0.2733 - ETA: 1s - loss: 10.1557 - acc: 0.2733 - ETA: 1s - loss: 10.1430 - acc: 0.2737 - ETA: 1s - loss: 10.1345 - acc: 0.2751 - ETA: 1s - loss: 10.0985 - acc: 0.2772 - ETA: 1s - loss: 10.0666 - acc: 0.2784 - ETA: 1s - loss: 10.0524 - acc: 0.2804 - ETA: 1s - loss: 10.0200 - acc: 0.2817 - ETA: 1s - loss: 10.0100 - acc: 0.2828 - ETA: 1s - loss: 10.0082 - acc: 0.2843 - ETA: 1s - loss: 10.0118 - acc: 0.2838 - ETA: 1s - loss: 10.0133 - acc: 0.2837 - ETA: 1s - loss: 10.0320 - acc: 0.2827 - ETA: 1s - loss: 10.0357 - acc: 0.2827 - ETA: 1s - loss: 10.0465 - acc: 0.2825 - ETA: 1s - loss: 10.0185 - acc: 0.2836 - ETA: 0s - loss: 10.0124 - acc: 0.2838 - ETA: 0s - loss: 9.9944 - acc: 0.2851 - ETA: 0s - loss: 9.9843 - acc: 0.2864 - ETA: 0s - loss: 9.9851 - acc: 0.2863 - ETA: 0s - loss: 9.9975 - acc: 0.2855 - ETA: 0s - loss: 9.9961 - acc: 0.2860 - ETA: 0s - loss: 9.9887 - acc: 0.2871 - ETA: 0s - loss: 9.9909 - acc: 0.2863 - ETA: 0s - loss: 9.9851 - acc: 0.2856 - ETA: 0s - loss: 9.9956 - acc: 0.2857 - ETA: 0s - loss: 9.9643 - acc: 0.2875 - ETA: 0s - loss: 9.9649 - acc: 0.2875 - ETA: 0s - loss: 9.9545 - acc: 0.2884 - ETA: 0s - loss: 9.9668 - acc: 0.2877 - ETA: 0s - loss: 9.9747 - acc: 0.2874 - ETA: 0s - loss: 9.9728 - acc: 0.2875 - ETA: 0s - loss: 9.9290 - acc: 0.2909Epoch 00001: val_loss improved from 10.63390 to 9.78852, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 9.9386 - acc: 0.2907 - val_loss: 9.7885 - val_acc: 0.2958 Epoch 3/20 6640/6680 [============================>.] - ETA: 5s - loss: 11.3728 - acc: 0.2500 - ETA: 3s - loss: 9.5522 - acc: 0.3417 - ETA: 3s - loss: 9.6589 - acc: 0.3250 - ETA: 3s - loss: 9.5376 - acc: 0.3267 - ETA: 3s - loss: 9.5762 - acc: 0.3289 - ETA: 4s - loss: 9.3523 - acc: 0.3409 - ETA: 4s - loss: 9.2299 - acc: 0.3500 - ETA: 4s - loss: 9.1919 - acc: 0.3550 - ETA: 4s - loss: 9.3147 - acc: 0.3515 - ETA: 4s - loss: 9.2549 - acc: 0.3539 - ETA: 3s - loss: 9.2721 - acc: 0.3522 - ETA: 4s - loss: 9.1631 - acc: 0.3594 - ETA: 4s - loss: 9.0353 - acc: 0.3657 - ETA: 3s - loss: 8.9675 - acc: 0.3723 - ETA: 3s - loss: 9.0646 - acc: 0.3648 - ETA: 3s - loss: 9.0288 - acc: 0.3672 - ETA: 3s - loss: 9.0819 - acc: 0.3627 - ETA: 3s - loss: 9.0070 - acc: 0.3671 - ETA: 3s - loss: 9.1066 - acc: 0.3606 - ETA: 3s - loss: 9.0887 - acc: 0.3616 - ETA: 3s - loss: 9.1567 - acc: 0.3580 - ETA: 3s - loss: 9.0457 - acc: 0.3658 - ETA: 3s - loss: 9.0742 - acc: 0.3647 - ETA: 3s - loss: 9.1388 - acc: 0.3630 - ETA: 3s - loss: 9.1668 - acc: 0.3615 - ETA: 3s - loss: 9.1915 - acc: 0.3610 - ETA: 3s - loss: 9.1912 - acc: 0.3611 - ETA: 2s - loss: 9.2462 - acc: 0.3585 - ETA: 2s - loss: 9.2469 - acc: 0.3583 - ETA: 2s - loss: 9.2306 - acc: 0.3588 - ETA: 2s - loss: 9.2280 - acc: 0.3588 - ETA: 2s - loss: 9.2359 - acc: 0.3572 - ETA: 2s - loss: 9.2526 - acc: 0.3570 - ETA: 2s - loss: 9.2529 - acc: 0.3567 - ETA: 2s - loss: 9.2579 - acc: 0.3548 - ETA: 2s - loss: 9.2424 - acc: 0.3553 - ETA: 2s - loss: 9.1902 - acc: 0.3596 - ETA: 2s - loss: 9.2259 - acc: 0.3556 - ETA: 2s - loss: 9.2176 - acc: 0.3554 - ETA: 2s - loss: 9.2247 - acc: 0.3559 - ETA: 2s - loss: 9.1811 - acc: 0.3597 - ETA: 2s - loss: 9.2049 - acc: 0.3587 - ETA: 2s - loss: 9.2182 - acc: 0.3571 - ETA: 1s - loss: 9.2471 - acc: 0.3550 - ETA: 1s - loss: 9.2641 - acc: 0.3546 - ETA: 1s - loss: 9.2693 - acc: 0.3543 - ETA: 1s - loss: 9.2676 - acc: 0.3549 - ETA: 1s - loss: 9.2691 - acc: 0.3554 - ETA: 1s - loss: 9.2875 - acc: 0.3545 - ETA: 1s - loss: 9.2824 - acc: 0.3558 - ETA: 1s - loss: 9.2761 - acc: 0.3558 - ETA: 1s - loss: 9.2660 - acc: 0.3568 - ETA: 1s - loss: 9.2690 - acc: 0.3567 - ETA: 1s - loss: 9.2739 - acc: 0.3561 - ETA: 1s - loss: 9.3030 - acc: 0.3542 - ETA: 1s - loss: 9.2951 - acc: 0.3552 - ETA: 1s - loss: 9.3163 - acc: 0.3543 - ETA: 1s - loss: 9.2933 - acc: 0.3562 - ETA: 1s - loss: 9.3263 - acc: 0.3541 - ETA: 1s - loss: 9.3458 - acc: 0.3525 - ETA: 0s - loss: 9.3573 - acc: 0.3515 - ETA: 0s - loss: 9.3867 - acc: 0.3494 - ETA: 0s - loss: 9.3840 - acc: 0.3493 - ETA: 0s - loss: 9.3886 - acc: 0.3493 - ETA: 0s - loss: 9.3922 - acc: 0.3493 - ETA: 0s - loss: 9.4048 - acc: 0.3484 - ETA: 0s - loss: 9.4004 - acc: 0.3491 - ETA: 0s - loss: 9.4042 - acc: 0.3492 - ETA: 0s - loss: 9.4237 - acc: 0.3477 - ETA: 0s - loss: 9.4131 - acc: 0.3483 - ETA: 0s - loss: 9.4328 - acc: 0.3474 - ETA: 0s - loss: 9.4329 - acc: 0.3473 - ETA: 0s - loss: 9.4218 - acc: 0.3481 - ETA: 0s - loss: 9.4304 - acc: 0.3470 - ETA: 0s - loss: 9.4341 - acc: 0.3469 - ETA: 0s - loss: 9.4393 - acc: 0.3463 - ETA: 0s - loss: 9.4367 - acc: 0.3471Epoch 00002: val_loss improved from 9.78852 to 9.51859, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 9.4312 - acc: 0.3479 - val_loss: 9.5186 - val_acc: 0.3413 Epoch 4/20 6600/6680 [============================>.] - ETA: 10s - loss: 7.3327 - acc: 0.5000 - ETA: 3s - loss: 8.6937 - acc: 0.4286 - ETA: 3s - loss: 8.5837 - acc: 0.4357 - ETA: 3s - loss: 8.5468 - acc: 0.4289 - ETA: 3s - loss: 8.2928 - acc: 0.4455 - ETA: 3s - loss: 8.2641 - acc: 0.4442 - ETA: 3s - loss: 8.2789 - acc: 0.4383 - ETA: 3s - loss: 8.4450 - acc: 0.4278 - ETA: 3s - loss: 8.6051 - acc: 0.4188 - ETA: 3s - loss: 8.6031 - acc: 0.4167 - ETA: 3s - loss: 8.6600 - acc: 0.4146 - ETA: 3s - loss: 8.6419 - acc: 0.4183 - ETA: 3s - loss: 8.6690 - acc: 0.4167 - ETA: 3s - loss: 8.6591 - acc: 0.4164 - ETA: 3s - loss: 8.7583 - acc: 0.4102 - ETA: 3s - loss: 8.7871 - acc: 0.4087 - ETA: 3s - loss: 8.8388 - acc: 0.4054 - ETA: 3s - loss: 8.9042 - acc: 0.4013 - ETA: 3s - loss: 8.8628 - acc: 0.4042 - ETA: 3s - loss: 8.9325 - acc: 0.4017 - ETA: 3s - loss: 8.9114 - acc: 0.4038 - ETA: 3s - loss: 8.9529 - acc: 0.4021 - ETA: 3s - loss: 9.0203 - acc: 0.3965 - ETA: 3s - loss: 9.0080 - acc: 0.3966 - ETA: 3s - loss: 9.0296 - acc: 0.3948 - ETA: 3s - loss: 9.0310 - acc: 0.3945 - ETA: 3s - loss: 9.0718 - acc: 0.3920 - ETA: 3s - loss: 9.0130 - acc: 0.3957 - ETA: 3s - loss: 9.0068 - acc: 0.3967 - ETA: 2s - loss: 8.9964 - acc: 0.3980 - ETA: 2s - loss: 8.9800 - acc: 0.3977 - ETA: 2s - loss: 8.9740 - acc: 0.3978 - ETA: 2s - loss: 8.9698 - acc: 0.3976 - ETA: 2s - loss: 9.0109 - acc: 0.3963 - ETA: 2s - loss: 9.0250 - acc: 0.3961 - ETA: 2s - loss: 9.0833 - acc: 0.3933 - ETA: 2s - loss: 9.0996 - acc: 0.3932 - ETA: 2s - loss: 9.1089 - acc: 0.3925 - ETA: 2s - loss: 9.1353 - acc: 0.3901 - ETA: 2s - loss: 9.0918 - acc: 0.3917 - ETA: 2s - loss: 9.0797 - acc: 0.3919 - ETA: 2s - loss: 9.0789 - acc: 0.3923 - ETA: 2s - loss: 9.0880 - acc: 0.3920 - ETA: 2s - loss: 9.0963 - acc: 0.3913 - ETA: 1s - loss: 9.1112 - acc: 0.3906 - ETA: 1s - loss: 9.1168 - acc: 0.3896 - ETA: 1s - loss: 9.0905 - acc: 0.3919 - ETA: 1s - loss: 9.1279 - acc: 0.3899 - ETA: 1s - loss: 9.1573 - acc: 0.3883 - ETA: 1s - loss: 9.1631 - acc: 0.3880 - ETA: 1s - loss: 9.1695 - acc: 0.3882 - ETA: 1s - loss: 9.1779 - acc: 0.3880 - ETA: 1s - loss: 9.1565 - acc: 0.3888 - ETA: 1s - loss: 9.1439 - acc: 0.3890 - ETA: 1s - loss: 9.1618 - acc: 0.3883 - ETA: 1s - loss: 9.1803 - acc: 0.3870 - ETA: 1s - loss: 9.1754 - acc: 0.3866 - ETA: 1s - loss: 9.1899 - acc: 0.3855 - ETA: 1s - loss: 9.1737 - acc: 0.3863 - ETA: 0s - loss: 9.1724 - acc: 0.3861 - ETA: 0s - loss: 9.1997 - acc: 0.3841 - ETA: 0s - loss: 9.1996 - acc: 0.3840 - ETA: 0s - loss: 9.2069 - acc: 0.3835 - ETA: 0s - loss: 9.2196 - acc: 0.3825 - ETA: 0s - loss: 9.1955 - acc: 0.3840 - ETA: 0s - loss: 9.2003 - acc: 0.3841 - ETA: 0s - loss: 9.2074 - acc: 0.3838 - ETA: 0s - loss: 9.1921 - acc: 0.3836 - ETA: 0s - loss: 9.1954 - acc: 0.3836 - ETA: 0s - loss: 9.1946 - acc: 0.3833 - ETA: 0s - loss: 9.2080 - acc: 0.3825 - ETA: 0s - loss: 9.2221 - acc: 0.3816 - ETA: 0s - loss: 9.2480 - acc: 0.3800Epoch 00003: val_loss did not improve 6680/6680 [==============================] - 4s - loss: 9.2532 - acc: 0.3802 - val_loss: 9.5532 - val_acc: 0.3329 Epoch 5/20 6520/6680 [============================>.] - ETA: 10s - loss: 7.3671 - acc: 0.5000 - ETA: 5s - loss: 9.2686 - acc: 0.4000 - ETA: 4s - loss: 9.7318 - acc: 0.3682 - ETA: 3s - loss: 9.4110 - acc: 0.3912 - ETA: 3s - loss: 9.5194 - acc: 0.3841 - ETA: 3s - loss: 9.3640 - acc: 0.3920 - ETA: 3s - loss: 9.5238 - acc: 0.3767 - ETA: 3s - loss: 9.5854 - acc: 0.3742 - ETA: 3s - loss: 9.4655 - acc: 0.3833 - ETA: 3s - loss: 9.3827 - acc: 0.3864 - ETA: 3s - loss: 9.3661 - acc: 0.3850 - ETA: 3s - loss: 9.3625 - acc: 0.3849 - ETA: 4s - loss: 9.4336 - acc: 0.3809 - ETA: 4s - loss: 9.3485 - acc: 0.3851 - ETA: 3s - loss: 9.3148 - acc: 0.3879 - ETA: 3s - loss: 9.2307 - acc: 0.3919 - ETA: 3s - loss: 9.2261 - acc: 0.3924 - ETA: 3s - loss: 9.2709 - acc: 0.3888 - ETA: 3s - loss: 9.3802 - acc: 0.3833 - ETA: 3s - loss: 9.3791 - acc: 0.3833 - ETA: 3s - loss: 9.3069 - acc: 0.3860 - ETA: 3s - loss: 9.3236 - acc: 0.3860 - ETA: 3s - loss: 9.3017 - acc: 0.3880 - ETA: 3s - loss: 9.2875 - acc: 0.3885 - ETA: 3s - loss: 9.2654 - acc: 0.3904 - ETA: 3s - loss: 9.2887 - acc: 0.3903 - ETA: 3s - loss: 9.2663 - acc: 0.3907 - ETA: 3s - loss: 9.2709 - acc: 0.3896 - ETA: 3s - loss: 9.2873 - acc: 0.3887 - ETA: 2s - loss: 9.2803 - acc: 0.3896 - ETA: 2s - loss: 9.3204 - acc: 0.3864 - ETA: 2s - loss: 9.3016 - acc: 0.3877 - ETA: 2s - loss: 9.3086 - acc: 0.3877 - ETA: 2s - loss: 9.2935 - acc: 0.3888 - ETA: 2s - loss: 9.2652 - acc: 0.3909 - ETA: 2s - loss: 9.2619 - acc: 0.3914 - ETA: 2s - loss: 9.2487 - acc: 0.3930 - ETA: 2s - loss: 9.2443 - acc: 0.3939 - ETA: 2s - loss: 9.2351 - acc: 0.3948 - ETA: 2s - loss: 9.2322 - acc: 0.3959 - ETA: 2s - loss: 9.2376 - acc: 0.3960 - ETA: 2s - loss: 9.2633 - acc: 0.3944 - ETA: 2s - loss: 9.2250 - acc: 0.3954 - ETA: 1s - loss: 9.2773 - acc: 0.3927 - ETA: 1s - loss: 9.2906 - acc: 0.3916 - ETA: 1s - loss: 9.2865 - acc: 0.3913 - ETA: 1s - loss: 9.2655 - acc: 0.3920 - ETA: 1s - loss: 9.2753 - acc: 0.3922 - ETA: 1s - loss: 9.2366 - acc: 0.3940 - ETA: 1s - loss: 9.2175 - acc: 0.3950 - ETA: 1s - loss: 9.2147 - acc: 0.3947 - ETA: 1s - loss: 9.2024 - acc: 0.3952 - ETA: 1s - loss: 9.1709 - acc: 0.3972 - ETA: 1s - loss: 9.1888 - acc: 0.3954 - ETA: 1s - loss: 9.1934 - acc: 0.3947 - ETA: 1s - loss: 9.2048 - acc: 0.3933 - ETA: 1s - loss: 9.1917 - acc: 0.3940 - ETA: 1s - loss: 9.1838 - acc: 0.3943 - ETA: 1s - loss: 9.1946 - acc: 0.3940 - ETA: 0s - loss: 9.1948 - acc: 0.3937 - ETA: 0s - loss: 9.2032 - acc: 0.3935 - ETA: 0s - loss: 9.1861 - acc: 0.3945 - ETA: 0s - loss: 9.1868 - acc: 0.3946 - ETA: 0s - loss: 9.1944 - acc: 0.3941 - ETA: 0s - loss: 9.1899 - acc: 0.3949 - ETA: 0s - loss: 9.1834 - acc: 0.3948 - ETA: 0s - loss: 9.1924 - acc: 0.3940 - ETA: 0s - loss: 9.1813 - acc: 0.3949 - ETA: 0s - loss: 9.1705 - acc: 0.3958 - ETA: 0s - loss: 9.1737 - acc: 0.3956 - ETA: 0s - loss: 9.1773 - acc: 0.3955 - ETA: 0s - loss: 9.1918 - acc: 0.3947 - ETA: 0s - loss: 9.1915 - acc: 0.3946 - ETA: 0s - loss: 9.1953 - acc: 0.3946 - ETA: 0s - loss: 9.1844 - acc: 0.3949Epoch 00004: val_loss improved from 9.51859 to 9.42262, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 9.1428 - acc: 0.3978 - val_loss: 9.4226 - val_acc: 0.3401 Epoch 6/20 6620/6680 [============================>.] - ETA: 0s - loss: 6.7605 - acc: 0.5500 - ETA: 4s - loss: 8.1808 - acc: 0.4750 - ETA: 4s - loss: 8.7315 - acc: 0.4500 - ETA: 4s - loss: 8.9461 - acc: 0.4375 - ETA: 4s - loss: 8.9452 - acc: 0.4375 - ETA: 4s - loss: 8.9499 - acc: 0.4333 - ETA: 4s - loss: 8.8875 - acc: 0.4346 - ETA: 4s - loss: 8.9778 - acc: 0.4283 - ETA: 4s - loss: 9.2547 - acc: 0.4088 - ETA: 4s - loss: 9.1568 - acc: 0.4125 - ETA: 3s - loss: 8.9452 - acc: 0.4228 - ETA: 3s - loss: 8.9410 - acc: 0.4186 - ETA: 3s - loss: 8.9696 - acc: 0.4161 - ETA: 3s - loss: 9.0879 - acc: 0.4102 - ETA: 3s - loss: 9.1217 - acc: 0.4063 - ETA: 3s - loss: 9.0848 - acc: 0.4096 - ETA: 3s - loss: 9.1661 - acc: 0.4049 - ETA: 3s - loss: 9.2036 - acc: 0.4020 - ETA: 3s - loss: 9.1971 - acc: 0.4031 - ETA: 3s - loss: 9.1476 - acc: 0.4066 - ETA: 3s - loss: 9.1593 - acc: 0.4064 - ETA: 3s - loss: 9.1636 - acc: 0.4051 - ETA: 3s - loss: 9.1132 - acc: 0.4070 - ETA: 3s - loss: 9.1294 - acc: 0.4067 - ETA: 3s - loss: 9.1150 - acc: 0.4070 - ETA: 3s - loss: 9.1279 - acc: 0.4062 - ETA: 3s - loss: 9.0861 - acc: 0.4092 - ETA: 3s - loss: 9.1305 - acc: 0.4061 - ETA: 3s - loss: 9.1559 - acc: 0.4047 - ETA: 3s - loss: 9.1478 - acc: 0.4049 - ETA: 2s - loss: 9.1061 - acc: 0.4071 - ETA: 2s - loss: 9.0902 - acc: 0.4081 - ETA: 2s - loss: 9.0369 - acc: 0.4119 - ETA: 2s - loss: 9.0040 - acc: 0.4136 - ETA: 2s - loss: 9.0356 - acc: 0.4115 - ETA: 2s - loss: 9.0459 - acc: 0.4094 - ETA: 2s - loss: 9.0924 - acc: 0.4067 - ETA: 2s - loss: 9.1325 - acc: 0.4039 - ETA: 2s - loss: 9.1416 - acc: 0.4036 - ETA: 2s - loss: 9.1634 - acc: 0.4022 - ETA: 2s - loss: 9.1688 - acc: 0.4019 - ETA: 2s - loss: 9.2034 - acc: 0.3997 - ETA: 2s - loss: 9.1839 - acc: 0.4014 - ETA: 2s - loss: 9.1775 - acc: 0.4020 - ETA: 2s - loss: 9.1451 - acc: 0.4031 - ETA: 2s - loss: 9.1180 - acc: 0.4044 - ETA: 2s - loss: 9.1529 - acc: 0.4024 - ETA: 2s - loss: 9.1015 - acc: 0.4049 - ETA: 2s - loss: 9.1078 - acc: 0.4046 - ETA: 1s - loss: 9.1121 - acc: 0.4050 - ETA: 1s - loss: 9.1353 - acc: 0.4039 - ETA: 1s - loss: 9.1070 - acc: 0.4048 - ETA: 1s - loss: 9.1097 - acc: 0.4049 - ETA: 1s - loss: 9.1135 - acc: 0.4045 - ETA: 1s - loss: 9.1463 - acc: 0.4022 - ETA: 1s - loss: 9.1512 - acc: 0.4022 - ETA: 1s - loss: 9.1226 - acc: 0.4032 - ETA: 1s - loss: 9.0991 - acc: 0.4042 - ETA: 1s - loss: 9.0790 - acc: 0.4056 - ETA: 1s - loss: 9.0882 - acc: 0.4057 - ETA: 1s - loss: 9.0887 - acc: 0.4058 - ETA: 1s - loss: 9.0843 - acc: 0.4060 - ETA: 1s - loss: 9.0717 - acc: 0.4073 - ETA: 1s - loss: 9.0634 - acc: 0.4075 - ETA: 0s - loss: 9.0626 - acc: 0.4076 - ETA: 0s - loss: 9.0777 - acc: 0.4067 - ETA: 0s - loss: 9.0775 - acc: 0.4069 - ETA: 0s - loss: 9.0875 - acc: 0.4063 - ETA: 0s - loss: 9.0608 - acc: 0.4082 - ETA: 0s - loss: 9.0774 - acc: 0.4073 - ETA: 0s - loss: 9.0426 - acc: 0.4099 - ETA: 0s - loss: 9.0309 - acc: 0.4106 - ETA: 0s - loss: 9.0132 - acc: 0.4113 - ETA: 0s - loss: 9.0028 - acc: 0.4118 - ETA: 0s - loss: 9.0091 - acc: 0.4116 - ETA: 0s - loss: 9.0029 - acc: 0.4121 - ETA: 0s - loss: 8.9803 - acc: 0.4134 - ETA: 0s - loss: 8.9806 - acc: 0.4131 - ETA: 0s - loss: 8.9913 - acc: 0.4125Epoch 00005: val_loss improved from 9.42262 to 9.40859, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 5s - loss: 9.0008 - acc: 0.4117 - val_loss: 9.4086 - val_acc: 0.3533 Epoch 7/20 6620/6680 [============================>.] - ETA: 5s - loss: 8.1183 - acc: 0.4500 - ETA: 3s - loss: 8.8440 - acc: 0.4333 - ETA: 3s - loss: 8.2774 - acc: 0.4688 - ETA: 3s - loss: 8.5702 - acc: 0.4500 - ETA: 3s - loss: 8.6059 - acc: 0.4458 - ETA: 3s - loss: 8.6344 - acc: 0.4446 - ETA: 3s - loss: 8.6053 - acc: 0.4484 - ETA: 3s - loss: 8.7101 - acc: 0.4444 - ETA: 4s - loss: 8.6547 - acc: 0.4487 - ETA: 4s - loss: 8.7380 - acc: 0.4420 - ETA: 3s - loss: 8.8511 - acc: 0.4347 - ETA: 4s - loss: 8.9159 - acc: 0.4314 - ETA: 4s - loss: 8.8289 - acc: 0.4373 - ETA: 4s - loss: 8.8174 - acc: 0.4373 - ETA: 3s - loss: 8.8416 - acc: 0.4359 - ETA: 3s - loss: 8.8684 - acc: 0.4348 - ETA: 3s - loss: 8.8618 - acc: 0.4347 - ETA: 3s - loss: 8.8699 - acc: 0.4325 - ETA: 3s - loss: 8.8263 - acc: 0.4326 - ETA: 3s - loss: 8.7896 - acc: 0.4348 - ETA: 3s - loss: 8.7493 - acc: 0.4366 - ETA: 3s - loss: 8.7782 - acc: 0.4354 - ETA: 3s - loss: 8.7825 - acc: 0.4360 - ETA: 3s - loss: 8.7477 - acc: 0.4385 - ETA: 3s - loss: 8.7130 - acc: 0.4402 - ETA: 3s - loss: 8.7766 - acc: 0.4369 - ETA: 3s - loss: 8.7265 - acc: 0.4404 - ETA: 3s - loss: 8.7641 - acc: 0.4378 - ETA: 2s - loss: 8.7950 - acc: 0.4356 - ETA: 2s - loss: 8.8135 - acc: 0.4342 - ETA: 2s - loss: 8.8511 - acc: 0.4323 - ETA: 2s - loss: 8.8589 - acc: 0.4320 - ETA: 2s - loss: 8.9250 - acc: 0.4280 - ETA: 2s - loss: 8.9399 - acc: 0.4277 - ETA: 2s - loss: 8.9249 - acc: 0.4283 - ETA: 2s - loss: 8.9266 - acc: 0.4279 - ETA: 2s - loss: 8.9328 - acc: 0.4261 - ETA: 2s - loss: 8.9290 - acc: 0.4259 - ETA: 2s - loss: 8.9004 - acc: 0.4269 - ETA: 2s - loss: 8.8628 - acc: 0.4292 - ETA: 2s - loss: 8.8772 - acc: 0.4288 - ETA: 2s - loss: 8.8923 - acc: 0.4280 - ETA: 2s - loss: 8.8873 - acc: 0.4275 - ETA: 1s - loss: 8.8840 - acc: 0.4279 - ETA: 1s - loss: 8.8981 - acc: 0.4270 - ETA: 1s - loss: 8.9141 - acc: 0.4264 - ETA: 1s - loss: 8.9255 - acc: 0.4257 - ETA: 1s - loss: 8.9440 - acc: 0.4248 - ETA: 1s - loss: 8.9626 - acc: 0.4234 - ETA: 1s - loss: 8.9839 - acc: 0.4218 - ETA: 1s - loss: 8.9778 - acc: 0.4227 - ETA: 1s - loss: 8.9715 - acc: 0.4222 - ETA: 1s - loss: 8.9740 - acc: 0.4221 - ETA: 1s - loss: 8.9714 - acc: 0.4213 - ETA: 1s - loss: 8.9606 - acc: 0.4221 - ETA: 1s - loss: 8.9479 - acc: 0.4227 - ETA: 1s - loss: 8.9488 - acc: 0.4227 - ETA: 1s - loss: 8.9590 - acc: 0.4216 - ETA: 1s - loss: 8.9720 - acc: 0.4206 - ETA: 1s - loss: 8.9681 - acc: 0.4209 - ETA: 0s - loss: 8.9741 - acc: 0.4207 - ETA: 0s - loss: 8.9510 - acc: 0.4225 - ETA: 0s - loss: 8.9635 - acc: 0.4217 - ETA: 0s - loss: 8.9394 - acc: 0.4229 - ETA: 0s - loss: 8.9338 - acc: 0.4230 - ETA: 0s - loss: 8.9114 - acc: 0.4241 - ETA: 0s - loss: 8.8874 - acc: 0.4255 - ETA: 0s - loss: 8.8492 - acc: 0.4279 - ETA: 0s - loss: 8.8575 - acc: 0.4277 - ETA: 0s - loss: 8.8505 - acc: 0.4281 - ETA: 0s - loss: 8.8521 - acc: 0.4278 - ETA: 0s - loss: 8.8455 - acc: 0.4283 - ETA: 0s - loss: 8.8525 - acc: 0.4277 - ETA: 0s - loss: 8.8607 - acc: 0.4269Epoch 00006: val_loss improved from 9.40859 to 9.29745, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.8550 - acc: 0.4274 - val_loss: 9.2974 - val_acc: 0.3737 Epoch 8/20 6660/6680 [============================>.] - ETA: 7s - loss: 8.1181 - acc: 0.5000 - ETA: 5s - loss: 7.6519 - acc: 0.4900 - ETA: 4s - loss: 8.5516 - acc: 0.4500 - ETA: 4s - loss: 8.8655 - acc: 0.4267 - ETA: 3s - loss: 8.5296 - acc: 0.4525 - ETA: 3s - loss: 8.3656 - acc: 0.4615 - ETA: 3s - loss: 8.4486 - acc: 0.4567 - ETA: 3s - loss: 8.5325 - acc: 0.4543 - ETA: 3s - loss: 8.6355 - acc: 0.4487 - ETA: 3s - loss: 8.5252 - acc: 0.4548 - ETA: 3s - loss: 8.6214 - acc: 0.4489 - ETA: 3s - loss: 8.6205 - acc: 0.4469 - ETA: 3s - loss: 8.6753 - acc: 0.4434 - ETA: 3s - loss: 8.6436 - acc: 0.4458 - ETA: 3s - loss: 8.6634 - acc: 0.4453 - ETA: 3s - loss: 8.6869 - acc: 0.4433 - ETA: 3s - loss: 8.6736 - acc: 0.4443 - ETA: 3s - loss: 8.6759 - acc: 0.4446 - ETA: 3s - loss: 8.6605 - acc: 0.4449 - ETA: 3s - loss: 8.6830 - acc: 0.4446 - ETA: 3s - loss: 8.7043 - acc: 0.4438 - ETA: 3s - loss: 8.7210 - acc: 0.4429 - ETA: 3s - loss: 8.7342 - acc: 0.4426 - ETA: 3s - loss: 8.7586 - acc: 0.4409 - ETA: 3s - loss: 8.7942 - acc: 0.4393 - ETA: 3s - loss: 8.8547 - acc: 0.4355 - ETA: 2s - loss: 8.8632 - acc: 0.4357 - ETA: 2s - loss: 8.8834 - acc: 0.4339 - ETA: 2s - loss: 8.8357 - acc: 0.4374 - ETA: 2s - loss: 8.8386 - acc: 0.4368 - ETA: 2s - loss: 8.8529 - acc: 0.4359 - ETA: 2s - loss: 8.8301 - acc: 0.4379 - ETA: 2s - loss: 8.7986 - acc: 0.4392 - ETA: 2s - loss: 8.8204 - acc: 0.4381 - ETA: 2s - loss: 8.8270 - acc: 0.4378 - ETA: 2s - loss: 8.8355 - acc: 0.4373 - ETA: 2s - loss: 8.9033 - acc: 0.4333 - ETA: 2s - loss: 8.8978 - acc: 0.4340 - ETA: 2s - loss: 8.8894 - acc: 0.4344 - ETA: 2s - loss: 8.8766 - acc: 0.4351 - ETA: 2s - loss: 8.8864 - acc: 0.4347 - ETA: 2s - loss: 8.8705 - acc: 0.4356 - ETA: 2s - loss: 8.8588 - acc: 0.4366 - ETA: 1s - loss: 8.8873 - acc: 0.4346 - ETA: 1s - loss: 8.9158 - acc: 0.4331 - ETA: 1s - loss: 8.9067 - acc: 0.4340 - ETA: 1s - loss: 8.8996 - acc: 0.4342 - ETA: 1s - loss: 8.9108 - acc: 0.4338 - ETA: 1s - loss: 8.8945 - acc: 0.4352 - ETA: 1s - loss: 8.8769 - acc: 0.4362 - ETA: 1s - loss: 8.8696 - acc: 0.4364 - ETA: 1s - loss: 8.9053 - acc: 0.4343 - ETA: 1s - loss: 8.8977 - acc: 0.4345 - ETA: 1s - loss: 8.9011 - acc: 0.4344 - ETA: 1s - loss: 8.8983 - acc: 0.4343 - ETA: 1s - loss: 8.8882 - acc: 0.4353 - ETA: 1s - loss: 8.8790 - acc: 0.4357 - ETA: 1s - loss: 8.8611 - acc: 0.4364 - ETA: 0s - loss: 8.8287 - acc: 0.4383 - ETA: 0s - loss: 8.8293 - acc: 0.4384 - ETA: 0s - loss: 8.8310 - acc: 0.4383 - ETA: 0s - loss: 8.8273 - acc: 0.4382 - ETA: 0s - loss: 8.8432 - acc: 0.4373 - ETA: 0s - loss: 8.8468 - acc: 0.4369 - ETA: 0s - loss: 8.8448 - acc: 0.4371 - ETA: 0s - loss: 8.8409 - acc: 0.4373 - ETA: 0s - loss: 8.8316 - acc: 0.4377 - ETA: 0s - loss: 8.8282 - acc: 0.4378 - ETA: 0s - loss: 8.8218 - acc: 0.4382 - ETA: 0s - loss: 8.7978 - acc: 0.4397 - ETA: 0s - loss: 8.7867 - acc: 0.4403 - ETA: 0s - loss: 8.7869 - acc: 0.4398 - ETA: 0s - loss: 8.7843 - acc: 0.4398 - ETA: 0s - loss: 8.8029 - acc: 0.4386Epoch 00007: val_loss improved from 9.29745 to 9.23359, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.8031 - acc: 0.4386 - val_loss: 9.2336 - val_acc: 0.3617 Epoch 9/20 6580/6680 [============================>.] - ETA: 10s - loss: 8.8670 - acc: 0.4500 - ETA: 4s - loss: 8.9517 - acc: 0.4357 - ETA: 4s - loss: 9.4096 - acc: 0.4100 - ETA: 4s - loss: 8.9772 - acc: 0.4357 - ETA: 3s - loss: 9.0247 - acc: 0.4295 - ETA: 3s - loss: 8.7415 - acc: 0.4444 - ETA: 4s - loss: 8.7285 - acc: 0.4431 - ETA: 4s - loss: 8.6989 - acc: 0.4470 - ETA: 3s - loss: 8.7438 - acc: 0.4421 - ETA: 4s - loss: 8.7426 - acc: 0.4415 - ETA: 4s - loss: 8.8539 - acc: 0.4330 - ETA: 4s - loss: 8.9329 - acc: 0.4292 - ETA: 4s - loss: 8.8517 - acc: 0.4343 - ETA: 4s - loss: 8.8802 - acc: 0.4339 - ETA: 3s - loss: 8.9637 - acc: 0.4295 - ETA: 3s - loss: 8.8875 - acc: 0.4346 - ETA: 3s - loss: 8.8186 - acc: 0.4393 - ETA: 3s - loss: 8.8261 - acc: 0.4380 - ETA: 3s - loss: 8.7974 - acc: 0.4399 - ETA: 3s - loss: 8.8137 - acc: 0.4394 - ETA: 3s - loss: 8.8344 - acc: 0.4388 - ETA: 3s - loss: 8.8237 - acc: 0.4389 - ETA: 3s - loss: 8.7935 - acc: 0.4409 - ETA: 3s - loss: 8.7914 - acc: 0.4415 - ETA: 2s - loss: 8.8253 - acc: 0.4387 - ETA: 2s - loss: 8.8400 - acc: 0.4377 - ETA: 2s - loss: 8.8745 - acc: 0.4357 - ETA: 2s - loss: 8.8590 - acc: 0.4358 - ETA: 2s - loss: 8.8619 - acc: 0.4354 - ETA: 2s - loss: 8.8050 - acc: 0.4387 - ETA: 2s - loss: 8.7990 - acc: 0.4386 - ETA: 2s - loss: 8.8180 - acc: 0.4373 - ETA: 2s - loss: 8.8208 - acc: 0.4374 - ETA: 2s - loss: 8.7815 - acc: 0.4399 - ETA: 2s - loss: 8.7817 - acc: 0.4396 - ETA: 2s - loss: 8.7701 - acc: 0.4398 - ETA: 2s - loss: 8.7861 - acc: 0.4389 - ETA: 2s - loss: 8.8321 - acc: 0.4361 - ETA: 2s - loss: 8.8101 - acc: 0.4364 - ETA: 2s - loss: 8.7803 - acc: 0.4383 - ETA: 1s - loss: 8.8002 - acc: 0.4374 - ETA: 1s - loss: 8.8112 - acc: 0.4371 - ETA: 1s - loss: 8.8078 - acc: 0.4374 - ETA: 1s - loss: 8.7890 - acc: 0.4382 - ETA: 1s - loss: 8.7827 - acc: 0.4385 - ETA: 1s - loss: 8.7810 - acc: 0.4387 - ETA: 1s - loss: 8.7675 - acc: 0.4393 - ETA: 1s - loss: 8.7825 - acc: 0.4380 - ETA: 1s - loss: 8.7917 - acc: 0.4376 - ETA: 1s - loss: 8.8001 - acc: 0.4373 - ETA: 1s - loss: 8.7831 - acc: 0.4385 - ETA: 1s - loss: 8.7673 - acc: 0.4392 - ETA: 1s - loss: 8.7457 - acc: 0.4407 - ETA: 1s - loss: 8.7384 - acc: 0.4415 - ETA: 1s - loss: 8.7401 - acc: 0.4416 - ETA: 0s - loss: 8.7517 - acc: 0.4412 - ETA: 0s - loss: 8.7457 - acc: 0.4414 - ETA: 0s - loss: 8.7367 - acc: 0.4416 - ETA: 0s - loss: 8.7251 - acc: 0.4427 - ETA: 0s - loss: 8.7405 - acc: 0.4415 - ETA: 0s - loss: 8.7466 - acc: 0.4407 - ETA: 0s - loss: 8.7543 - acc: 0.4401 - ETA: 0s - loss: 8.7379 - acc: 0.4411 - ETA: 0s - loss: 8.7468 - acc: 0.4404 - ETA: 0s - loss: 8.7429 - acc: 0.4405 - ETA: 0s - loss: 8.7299 - acc: 0.4408 - ETA: 0s - loss: 8.7263 - acc: 0.4407 - ETA: 0s - loss: 8.7451 - acc: 0.4393 - ETA: 0s - loss: 8.7360 - acc: 0.4395 - ETA: 0s - loss: 8.7405 - acc: 0.4388 - ETA: 0s - loss: 8.7444 - acc: 0.4386 - ETA: 0s - loss: 8.7113 - acc: 0.4401Epoch 00008: val_loss improved from 9.23359 to 9.02218, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.6886 - acc: 0.4416 - val_loss: 9.0222 - val_acc: 0.3796 Epoch 10/20 6660/6680 [============================>.] - ETA: 0s - loss: 10.5346 - acc: 0.3000 - ETA: 3s - loss: 9.3029 - acc: 0.4000 - ETA: 3s - loss: 8.3217 - acc: 0.4625 - ETA: 3s - loss: 8.5911 - acc: 0.4471 - ETA: 3s - loss: 8.8870 - acc: 0.4286 - ETA: 3s - loss: 8.9226 - acc: 0.4271 - ETA: 3s - loss: 8.8080 - acc: 0.4367 - ETA: 3s - loss: 8.8697 - acc: 0.4303 - ETA: 3s - loss: 8.9012 - acc: 0.4270 - ETA: 3s - loss: 8.7942 - acc: 0.4321 - ETA: 3s - loss: 8.6261 - acc: 0.4449 - ETA: 3s - loss: 8.7019 - acc: 0.4396 - ETA: 3s - loss: 8.6731 - acc: 0.4412 - ETA: 3s - loss: 8.6976 - acc: 0.4403 - ETA: 3s - loss: 8.6463 - acc: 0.4432 - ETA: 3s - loss: 8.5509 - acc: 0.4500 - ETA: 3s - loss: 8.5747 - acc: 0.4493 - ETA: 3s - loss: 8.5930 - acc: 0.4481 - ETA: 3s - loss: 8.5243 - acc: 0.4529 - ETA: 3s - loss: 8.4873 - acc: 0.4556 - ETA: 3s - loss: 8.5418 - acc: 0.4532 - ETA: 3s - loss: 8.5342 - acc: 0.4536 - ETA: 3s - loss: 8.5026 - acc: 0.4563 - ETA: 3s - loss: 8.4776 - acc: 0.4580 - ETA: 2s - loss: 8.4282 - acc: 0.4608 - ETA: 2s - loss: 8.4060 - acc: 0.4618 - ETA: 2s - loss: 8.3198 - acc: 0.4668 - ETA: 2s - loss: 8.3218 - acc: 0.4665 - ETA: 2s - loss: 8.3128 - acc: 0.4671 - ETA: 2s - loss: 8.3180 - acc: 0.4673 - ETA: 2s - loss: 8.3304 - acc: 0.4654 - ETA: 2s - loss: 8.3578 - acc: 0.4638 - ETA: 2s - loss: 8.3832 - acc: 0.4624 - ETA: 2s - loss: 8.3765 - acc: 0.4618 - ETA: 2s - loss: 8.3905 - acc: 0.4608 - ETA: 2s - loss: 8.3665 - acc: 0.4626 - ETA: 2s - loss: 8.3873 - acc: 0.4609 - ETA: 2s - loss: 8.3522 - acc: 0.4626 - ETA: 2s - loss: 8.3843 - acc: 0.4609 - ETA: 2s - loss: 8.3838 - acc: 0.4607 - ETA: 1s - loss: 8.3820 - acc: 0.4606 - ETA: 1s - loss: 8.3722 - acc: 0.4619 - ETA: 1s - loss: 8.3854 - acc: 0.4613 - ETA: 1s - loss: 8.4290 - acc: 0.4585 - ETA: 1s - loss: 8.4643 - acc: 0.4567 - ETA: 1s - loss: 8.4785 - acc: 0.4558 - ETA: 1s - loss: 8.4849 - acc: 0.4552 - ETA: 1s - loss: 8.4669 - acc: 0.4560 - ETA: 1s - loss: 8.4419 - acc: 0.4576 - ETA: 1s - loss: 8.4336 - acc: 0.4581 - ETA: 1s - loss: 8.4719 - acc: 0.4557 - ETA: 1s - loss: 8.4759 - acc: 0.4556 - ETA: 1s - loss: 8.4983 - acc: 0.4539 - ETA: 1s - loss: 8.4760 - acc: 0.4551 - ETA: 1s - loss: 8.4681 - acc: 0.4553 - ETA: 0s - loss: 8.4559 - acc: 0.4559 - ETA: 0s - loss: 8.4551 - acc: 0.4559 - ETA: 0s - loss: 8.4476 - acc: 0.4566 - ETA: 0s - loss: 8.4372 - acc: 0.4572 - ETA: 0s - loss: 8.4419 - acc: 0.4571 - ETA: 0s - loss: 8.4331 - acc: 0.4579 - ETA: 0s - loss: 8.4208 - acc: 0.4584 - ETA: 0s - loss: 8.4281 - acc: 0.4581 - ETA: 0s - loss: 8.4293 - acc: 0.4583 - ETA: 0s - loss: 8.4245 - acc: 0.4589 - ETA: 0s - loss: 8.4429 - acc: 0.4575 - ETA: 0s - loss: 8.4515 - acc: 0.4567 - ETA: 0s - loss: 8.4646 - acc: 0.4560 - ETA: 0s - loss: 8.4842 - acc: 0.4547 - ETA: 0s - loss: 8.5050 - acc: 0.4534 - ETA: 0s - loss: 8.5223 - acc: 0.4524Epoch 00009: val_loss did not improve 6680/6680 [==============================] - 4s - loss: 8.5231 - acc: 0.4522 - val_loss: 9.0406 - val_acc: 0.3653 Epoch 11/20 6580/6680 [============================>.] - ETA: 5s - loss: 11.2840 - acc: 0.3000 - ETA: 3s - loss: 8.7094 - acc: 0.4500 - ETA: 3s - loss: 8.9745 - acc: 0.4346 - ETA: 3s - loss: 8.6074 - acc: 0.4563 - ETA: 3s - loss: 8.4145 - acc: 0.4667 - ETA: 3s - loss: 8.4281 - acc: 0.4640 - ETA: 4s - loss: 8.3446 - acc: 0.4685 - ETA: 4s - loss: 8.3988 - acc: 0.4650 - ETA: 4s - loss: 8.4099 - acc: 0.4667 - ETA: 3s - loss: 8.5007 - acc: 0.4607 - ETA: 3s - loss: 8.5399 - acc: 0.4592 - ETA: 3s - loss: 8.5917 - acc: 0.4558 - ETA: 3s - loss: 8.5374 - acc: 0.4560 - ETA: 3s - loss: 8.4582 - acc: 0.4603 - ETA: 3s - loss: 8.4108 - acc: 0.4642 - ETA: 3s - loss: 8.3630 - acc: 0.4674 - ETA: 3s - loss: 8.3778 - acc: 0.4669 - ETA: 3s - loss: 8.3530 - acc: 0.4691 - ETA: 3s - loss: 8.3059 - acc: 0.4730 - ETA: 3s - loss: 8.3609 - acc: 0.4692 - ETA: 3s - loss: 8.3862 - acc: 0.4667 - ETA: 3s - loss: 8.4196 - acc: 0.4644 - ETA: 2s - loss: 8.4872 - acc: 0.4584 - ETA: 2s - loss: 8.4864 - acc: 0.4590 - ETA: 2s - loss: 8.5094 - acc: 0.4581 - ETA: 2s - loss: 8.5255 - acc: 0.4571 - ETA: 2s - loss: 8.4735 - acc: 0.4605 - ETA: 2s - loss: 8.5169 - acc: 0.4581 - ETA: 2s - loss: 8.5132 - acc: 0.4585 - ETA: 2s - loss: 8.5304 - acc: 0.4576 - ETA: 2s - loss: 8.4941 - acc: 0.4597 - ETA: 2s - loss: 8.4921 - acc: 0.4594 - ETA: 2s - loss: 8.4631 - acc: 0.4613 - ETA: 2s - loss: 8.4452 - acc: 0.4620 - ETA: 2s - loss: 8.3930 - acc: 0.4653 - ETA: 2s - loss: 8.3740 - acc: 0.4669 - ETA: 1s - loss: 8.4129 - acc: 0.4645 - ETA: 1s - loss: 8.4297 - acc: 0.4637 - ETA: 1s - loss: 8.4372 - acc: 0.4636 - ETA: 1s - loss: 8.4126 - acc: 0.4652 - ETA: 1s - loss: 8.3998 - acc: 0.4661 - ETA: 1s - loss: 8.3904 - acc: 0.4668 - ETA: 1s - loss: 8.3806 - acc: 0.4671 - ETA: 1s - loss: 8.3980 - acc: 0.4663 - ETA: 1s - loss: 8.3857 - acc: 0.4670 - ETA: 1s - loss: 8.3612 - acc: 0.4685 - ETA: 1s - loss: 8.3535 - acc: 0.4688 - ETA: 1s - loss: 8.3733 - acc: 0.4675 - ETA: 1s - loss: 8.3901 - acc: 0.4664 - ETA: 1s - loss: 8.3949 - acc: 0.4661 - ETA: 1s - loss: 8.3921 - acc: 0.4662 - ETA: 1s - loss: 8.4025 - acc: 0.4659 - ETA: 1s - loss: 8.4320 - acc: 0.4639 - ETA: 1s - loss: 8.3982 - acc: 0.4659 - ETA: 1s - loss: 8.3980 - acc: 0.4656 - ETA: 0s - loss: 8.3411 - acc: 0.4692 - ETA: 0s - loss: 8.3390 - acc: 0.4691 - ETA: 0s - loss: 8.3366 - acc: 0.4693 - ETA: 0s - loss: 8.3436 - acc: 0.4688 - ETA: 0s - loss: 8.3533 - acc: 0.4683 - ETA: 0s - loss: 8.3677 - acc: 0.4676 - ETA: 0s - loss: 8.3706 - acc: 0.4672 - ETA: 0s - loss: 8.3681 - acc: 0.4676 - ETA: 0s - loss: 8.3684 - acc: 0.4677 - ETA: 0s - loss: 8.3868 - acc: 0.4665 - ETA: 0s - loss: 8.4143 - acc: 0.4650 - ETA: 0s - loss: 8.4394 - acc: 0.4636 - ETA: 0s - loss: 8.4438 - acc: 0.4634 - ETA: 0s - loss: 8.4429 - acc: 0.4637 - ETA: 0s - loss: 8.4427 - acc: 0.4637Epoch 00010: val_loss improved from 9.02218 to 8.97665, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.4356 - acc: 0.4641 - val_loss: 8.9767 - val_acc: 0.3760 Epoch 12/20 6560/6680 [============================>.] - ETA: 10s - loss: 7.2543 - acc: 0.5500 - ETA: 4s - loss: 8.4687 - acc: 0.4750 - ETA: 4s - loss: 8.2410 - acc: 0.4818 - ETA: 4s - loss: 8.1884 - acc: 0.4875 - ETA: 4s - loss: 8.2440 - acc: 0.4850 - ETA: 3s - loss: 8.1803 - acc: 0.4870 - ETA: 4s - loss: 8.2461 - acc: 0.4828 - ETA: 3s - loss: 8.4762 - acc: 0.4671 - ETA: 3s - loss: 8.4457 - acc: 0.4679 - ETA: 3s - loss: 8.3530 - acc: 0.4750 - ETA: 3s - loss: 8.3098 - acc: 0.4760 - ETA: 3s - loss: 8.2092 - acc: 0.4824 - ETA: 3s - loss: 8.2127 - acc: 0.4787 - ETA: 3s - loss: 8.1550 - acc: 0.4823 - ETA: 3s - loss: 8.0311 - acc: 0.4893 - ETA: 3s - loss: 7.9992 - acc: 0.4900 - ETA: 3s - loss: 8.0297 - acc: 0.4875 - ETA: 3s - loss: 8.0791 - acc: 0.4851 - ETA: 3s - loss: 8.1249 - acc: 0.4828 - ETA: 3s - loss: 8.1237 - acc: 0.4828 - ETA: 3s - loss: 8.2148 - acc: 0.4771 - ETA: 3s - loss: 8.2131 - acc: 0.4766 - ETA: 3s - loss: 8.2980 - acc: 0.4718 - ETA: 3s - loss: 8.2769 - acc: 0.4734 - ETA: 2s - loss: 8.3144 - acc: 0.4709 - ETA: 2s - loss: 8.3700 - acc: 0.4672 - ETA: 2s - loss: 8.3307 - acc: 0.4702 - ETA: 2s - loss: 8.3131 - acc: 0.4711 - ETA: 2s - loss: 8.3542 - acc: 0.4686 - ETA: 2s - loss: 8.3936 - acc: 0.4660 - ETA: 2s - loss: 8.3774 - acc: 0.4667 - ETA: 2s - loss: 8.3739 - acc: 0.4670 - ETA: 2s - loss: 8.4112 - acc: 0.4648 - ETA: 2s - loss: 8.4002 - acc: 0.4655 - ETA: 2s - loss: 8.4114 - acc: 0.4652 - ETA: 2s - loss: 8.4474 - acc: 0.4628 - ETA: 2s - loss: 8.4387 - acc: 0.4635 - ETA: 2s - loss: 8.4230 - acc: 0.4640 - ETA: 2s - loss: 8.3995 - acc: 0.4658 - ETA: 1s - loss: 8.3788 - acc: 0.4668 - ETA: 1s - loss: 8.3874 - acc: 0.4666 - ETA: 1s - loss: 8.3835 - acc: 0.4668 - ETA: 1s - loss: 8.3530 - acc: 0.4690 - ETA: 1s - loss: 8.3061 - acc: 0.4721 - ETA: 1s - loss: 8.3026 - acc: 0.4725 - ETA: 1s - loss: 8.2677 - acc: 0.4741 - ETA: 1s - loss: 8.2772 - acc: 0.4734 - ETA: 1s - loss: 8.2580 - acc: 0.4742 - ETA: 1s - loss: 8.2726 - acc: 0.4735 - ETA: 1s - loss: 8.2795 - acc: 0.4732 - ETA: 1s - loss: 8.3402 - acc: 0.4691 - ETA: 1s - loss: 8.3434 - acc: 0.4690 - ETA: 1s - loss: 8.3500 - acc: 0.4684 - ETA: 1s - loss: 8.3396 - acc: 0.4690 - ETA: 1s - loss: 8.3317 - acc: 0.4696 - ETA: 0s - loss: 8.3330 - acc: 0.4697 - ETA: 0s - loss: 8.3504 - acc: 0.4689 - ETA: 0s - loss: 8.3487 - acc: 0.4687 - ETA: 0s - loss: 8.3443 - acc: 0.4691 - ETA: 0s - loss: 8.3463 - acc: 0.4690 - ETA: 0s - loss: 8.3346 - acc: 0.4699 - ETA: 0s - loss: 8.3001 - acc: 0.4718 - ETA: 0s - loss: 8.3124 - acc: 0.4710 - ETA: 0s - loss: 8.2979 - acc: 0.4720 - ETA: 0s - loss: 8.2976 - acc: 0.4722 - ETA: 0s - loss: 8.2952 - acc: 0.4724 - ETA: 0s - loss: 8.2800 - acc: 0.4731 - ETA: 0s - loss: 8.2996 - acc: 0.4721 - ETA: 0s - loss: 8.3106 - acc: 0.4715 - ETA: 0s - loss: 8.3074 - acc: 0.4718 - ETA: 0s - loss: 8.3218 - acc: 0.4711 - ETA: 0s - loss: 8.3218 - acc: 0.4712Epoch 00011: val_loss improved from 8.97665 to 8.86854, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.3509 - acc: 0.4696 - val_loss: 8.8685 - val_acc: 0.3952 Epoch 13/20 6660/6680 [============================>.] - ETA: 6s - loss: 5.6573 - acc: 0.6500 - ETA: 3s - loss: 7.9518 - acc: 0.5071 - ETA: 4s - loss: 8.7102 - acc: 0.4600 - ETA: 3s - loss: 8.4687 - acc: 0.4750 - ETA: 4s - loss: 7.9982 - acc: 0.5022 - ETA: 4s - loss: 8.0685 - acc: 0.4979 - ETA: 4s - loss: 8.3455 - acc: 0.4810 - ETA: 4s - loss: 8.4581 - acc: 0.4742 - ETA: 4s - loss: 8.3215 - acc: 0.4829 - ETA: 4s - loss: 8.4222 - acc: 0.4767 - ETA: 4s - loss: 8.3465 - acc: 0.4815 - ETA: 3s - loss: 8.3027 - acc: 0.4843 - ETA: 3s - loss: 8.3409 - acc: 0.4804 - ETA: 3s - loss: 8.4390 - acc: 0.4729 - ETA: 3s - loss: 8.4092 - acc: 0.4738 - ETA: 3s - loss: 8.4604 - acc: 0.4709 - ETA: 3s - loss: 8.4668 - acc: 0.4708 - ETA: 3s - loss: 8.4269 - acc: 0.4724 - ETA: 3s - loss: 8.4496 - acc: 0.4713 - ETA: 3s - loss: 8.4412 - acc: 0.4713 - ETA: 3s - loss: 8.4272 - acc: 0.4718 - ETA: 3s - loss: 8.4623 - acc: 0.4695 - ETA: 2s - loss: 8.4778 - acc: 0.4689 - ETA: 2s - loss: 8.4347 - acc: 0.4714 - ETA: 2s - loss: 8.4560 - acc: 0.4703 - ETA: 2s - loss: 8.4131 - acc: 0.4728 - ETA: 2s - loss: 8.4020 - acc: 0.4736 - ETA: 2s - loss: 8.4018 - acc: 0.4729 - ETA: 2s - loss: 8.4361 - acc: 0.4710 - ETA: 2s - loss: 8.4107 - acc: 0.4727 - ETA: 2s - loss: 8.3668 - acc: 0.4753 - ETA: 2s - loss: 8.3726 - acc: 0.4745 - ETA: 2s - loss: 8.3324 - acc: 0.4765 - ETA: 2s - loss: 8.3190 - acc: 0.4771 - ETA: 2s - loss: 8.2965 - acc: 0.4784 - ETA: 2s - loss: 8.2876 - acc: 0.4788 - ETA: 2s - loss: 8.2667 - acc: 0.4803 - ETA: 2s - loss: 8.2793 - acc: 0.4795 - ETA: 2s - loss: 8.2791 - acc: 0.4797 - ETA: 1s - loss: 8.2628 - acc: 0.4805 - ETA: 1s - loss: 8.2945 - acc: 0.4788 - ETA: 1s - loss: 8.2982 - acc: 0.4781 - ETA: 1s - loss: 8.3081 - acc: 0.4772 - ETA: 1s - loss: 8.3037 - acc: 0.4777 - ETA: 1s - loss: 8.3030 - acc: 0.4779 - ETA: 1s - loss: 8.3043 - acc: 0.4772 - ETA: 1s - loss: 8.2840 - acc: 0.4787 - ETA: 1s - loss: 8.2756 - acc: 0.4792 - ETA: 1s - loss: 8.2871 - acc: 0.4786 - ETA: 1s - loss: 8.3356 - acc: 0.4758 - ETA: 1s - loss: 8.3260 - acc: 0.4761 - ETA: 1s - loss: 8.3306 - acc: 0.4756 - ETA: 1s - loss: 8.3239 - acc: 0.4761 - ETA: 1s - loss: 8.3438 - acc: 0.4750 - ETA: 1s - loss: 8.3632 - acc: 0.4739 - ETA: 1s - loss: 8.3605 - acc: 0.4740 - ETA: 1s - loss: 8.3609 - acc: 0.4741 - ETA: 1s - loss: 8.3577 - acc: 0.4742 - ETA: 0s - loss: 8.3774 - acc: 0.4730 - ETA: 0s - loss: 8.3745 - acc: 0.4728 - ETA: 0s - loss: 8.3835 - acc: 0.4724 - ETA: 0s - loss: 8.3742 - acc: 0.4731 - ETA: 0s - loss: 8.3542 - acc: 0.4745 - ETA: 0s - loss: 8.3613 - acc: 0.4740 - ETA: 0s - loss: 8.3385 - acc: 0.4755 - ETA: 0s - loss: 8.3347 - acc: 0.4754 - ETA: 0s - loss: 8.3375 - acc: 0.4750 - ETA: 0s - loss: 8.3505 - acc: 0.4740 - ETA: 0s - loss: 8.3363 - acc: 0.4750 - ETA: 0s - loss: 8.3526 - acc: 0.4739 - ETA: 0s - loss: 8.3579 - acc: 0.4737 - ETA: 0s - loss: 8.3416 - acc: 0.4748 - ETA: 0s - loss: 8.3453 - acc: 0.4746 - ETA: 0s - loss: 8.3336 - acc: 0.4755 - ETA: 0s - loss: 8.3131 - acc: 0.4767Epoch 00012: val_loss improved from 8.86854 to 8.81100, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 5s - loss: 8.3147 - acc: 0.4766 - val_loss: 8.8110 - val_acc: 0.3976 Epoch 14/20 6600/6680 [============================>.] - ETA: 0s - loss: 4.0385 - acc: 0.7500 - ETA: 5s - loss: 6.3127 - acc: 0.6000 - ETA: 4s - loss: 7.3342 - acc: 0.5389 - ETA: 4s - loss: 7.4979 - acc: 0.5308 - ETA: 4s - loss: 7.8032 - acc: 0.5132 - ETA: 4s - loss: 7.9557 - acc: 0.5022 - ETA: 4s - loss: 8.1193 - acc: 0.4929 - ETA: 3s - loss: 8.4408 - acc: 0.4735 - ETA: 3s - loss: 8.3846 - acc: 0.4756 - ETA: 3s - loss: 8.4080 - acc: 0.4733 - ETA: 3s - loss: 8.4320 - acc: 0.4724 - ETA: 3s - loss: 8.4234 - acc: 0.4726 - ETA: 3s - loss: 8.3696 - acc: 0.4763 - ETA: 3s - loss: 8.3045 - acc: 0.4805 - ETA: 3s - loss: 8.3658 - acc: 0.4770 - ETA: 3s - loss: 8.3327 - acc: 0.4787 - ETA: 3s - loss: 8.3416 - acc: 0.4781 - ETA: 3s - loss: 8.3866 - acc: 0.4756 - ETA: 3s - loss: 8.3788 - acc: 0.4762 - ETA: 3s - loss: 8.3885 - acc: 0.4759 - ETA: 3s - loss: 8.4671 - acc: 0.4711 - ETA: 3s - loss: 8.4280 - acc: 0.4737 - ETA: 3s - loss: 8.4711 - acc: 0.4711 - ETA: 3s - loss: 8.4708 - acc: 0.4713 - ETA: 3s - loss: 8.4556 - acc: 0.4719 - ETA: 3s - loss: 8.4151 - acc: 0.4745 - ETA: 3s - loss: 8.3795 - acc: 0.4768 - ETA: 3s - loss: 8.3543 - acc: 0.4785 - ETA: 3s - loss: 8.3707 - acc: 0.4773 - ETA: 2s - loss: 8.3520 - acc: 0.4782 - ETA: 2s - loss: 8.3959 - acc: 0.4754 - ETA: 2s - loss: 8.3609 - acc: 0.4777 - ETA: 2s - loss: 8.3727 - acc: 0.4766 - ETA: 2s - loss: 8.3373 - acc: 0.4787 - ETA: 2s - loss: 8.2966 - acc: 0.4810 - ETA: 2s - loss: 8.2886 - acc: 0.4812 - ETA: 2s - loss: 8.3312 - acc: 0.4776 - ETA: 2s - loss: 8.3616 - acc: 0.4756 - ETA: 2s - loss: 8.3402 - acc: 0.4765 - ETA: 2s - loss: 8.3458 - acc: 0.4759 - ETA: 2s - loss: 8.3714 - acc: 0.4743 - ETA: 2s - loss: 8.3675 - acc: 0.4741 - ETA: 2s - loss: 8.3664 - acc: 0.4742 - ETA: 2s - loss: 8.3703 - acc: 0.4741 - ETA: 2s - loss: 8.3618 - acc: 0.4743 - ETA: 1s - loss: 8.3418 - acc: 0.4758 - ETA: 1s - loss: 8.3516 - acc: 0.4752 - ETA: 1s - loss: 8.3105 - acc: 0.4775 - ETA: 1s - loss: 8.3306 - acc: 0.4765 - ETA: 1s - loss: 8.3330 - acc: 0.4765 - ETA: 1s - loss: 8.3223 - acc: 0.4773 - ETA: 1s - loss: 8.3048 - acc: 0.4782 - ETA: 1s - loss: 8.3053 - acc: 0.4778 - ETA: 1s - loss: 8.3101 - acc: 0.4775 - ETA: 1s - loss: 8.3052 - acc: 0.4777 - ETA: 1s - loss: 8.3159 - acc: 0.4769 - ETA: 1s - loss: 8.3267 - acc: 0.4760 - ETA: 1s - loss: 8.3367 - acc: 0.4753 - ETA: 1s - loss: 8.3305 - acc: 0.4754 - ETA: 0s - loss: 8.3100 - acc: 0.4763 - ETA: 0s - loss: 8.3234 - acc: 0.4755 - ETA: 0s - loss: 8.3206 - acc: 0.4757 - ETA: 0s - loss: 8.3152 - acc: 0.4757 - ETA: 0s - loss: 8.3255 - acc: 0.4751 - ETA: 0s - loss: 8.3349 - acc: 0.4747 - ETA: 0s - loss: 8.3345 - acc: 0.4746 - ETA: 0s - loss: 8.3165 - acc: 0.4754 - ETA: 0s - loss: 8.3108 - acc: 0.4758 - ETA: 0s - loss: 8.3105 - acc: 0.4757 - ETA: 0s - loss: 8.3003 - acc: 0.4763 - ETA: 0s - loss: 8.2836 - acc: 0.4773 - ETA: 0s - loss: 8.2711 - acc: 0.4782 - ETA: 0s - loss: 8.2749 - acc: 0.4780 - ETA: 0s - loss: 8.2910 - acc: 0.4772 - ETA: 0s - loss: 8.2875 - acc: 0.4775 - ETA: 0s - loss: 8.2740 - acc: 0.4780Epoch 00013: val_loss improved from 8.81100 to 8.77454, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.2787 - acc: 0.4777 - val_loss: 8.7745 - val_acc: 0.3892 Epoch 15/20 6600/6680 [============================>.] - ETA: 6s - loss: 8.0606 - acc: 0.5000 - ETA: 3s - loss: 8.7751 - acc: 0.4500 - ETA: 4s - loss: 8.4363 - acc: 0.4727 - ETA: 4s - loss: 8.5511 - acc: 0.4667 - ETA: 4s - loss: 8.6482 - acc: 0.4611 - ETA: 4s - loss: 8.6956 - acc: 0.4587 - ETA: 4s - loss: 8.6594 - acc: 0.4596 - ETA: 4s - loss: 8.4036 - acc: 0.4759 - ETA: 4s - loss: 8.2625 - acc: 0.4833 - ETA: 4s - loss: 8.4329 - acc: 0.4731 - ETA: 4s - loss: 8.4446 - acc: 0.4726 - ETA: 4s - loss: 8.4049 - acc: 0.4739 - ETA: 4s - loss: 8.3208 - acc: 0.4780 - ETA: 3s - loss: 8.2559 - acc: 0.4821 - ETA: 3s - loss: 8.2780 - acc: 0.4798 - ETA: 3s - loss: 8.2027 - acc: 0.4843 - ETA: 3s - loss: 8.1843 - acc: 0.4840 - ETA: 3s - loss: 8.1794 - acc: 0.4847 - ETA: 3s - loss: 8.1434 - acc: 0.4867 - ETA: 3s - loss: 8.1307 - acc: 0.4878 - ETA: 3s - loss: 8.1898 - acc: 0.4843 - ETA: 3s - loss: 8.1641 - acc: 0.4858 - ETA: 3s - loss: 8.1527 - acc: 0.4867 - ETA: 3s - loss: 8.1187 - acc: 0.4886 - ETA: 3s - loss: 8.0553 - acc: 0.4929 - ETA: 3s - loss: 8.0701 - acc: 0.4923 - ETA: 3s - loss: 8.0918 - acc: 0.4909 - ETA: 3s - loss: 8.0638 - acc: 0.4929 - ETA: 2s - loss: 8.0771 - acc: 0.4923 - ETA: 2s - loss: 8.0668 - acc: 0.4930 - ETA: 2s - loss: 8.0748 - acc: 0.4920 - ETA: 2s - loss: 8.0691 - acc: 0.4926 - ETA: 2s - loss: 8.0712 - acc: 0.4927 - ETA: 2s - loss: 8.0673 - acc: 0.4927 - ETA: 2s - loss: 8.0670 - acc: 0.4929 - ETA: 2s - loss: 8.0659 - acc: 0.4925 - ETA: 2s - loss: 8.0369 - acc: 0.4945 - ETA: 2s - loss: 8.0586 - acc: 0.4932 - ETA: 2s - loss: 8.0772 - acc: 0.4923 - ETA: 2s - loss: 8.1037 - acc: 0.4908 - ETA: 2s - loss: 8.1298 - acc: 0.4893 - ETA: 2s - loss: 8.0981 - acc: 0.4914 - ETA: 1s - loss: 8.0602 - acc: 0.4927 - ETA: 1s - loss: 8.0728 - acc: 0.4920 - ETA: 1s - loss: 8.0610 - acc: 0.4926 - ETA: 1s - loss: 8.0977 - acc: 0.4901 - ETA: 1s - loss: 8.1362 - acc: 0.4879 - ETA: 1s - loss: 8.1469 - acc: 0.4872 - ETA: 1s - loss: 8.1496 - acc: 0.4865 - ETA: 1s - loss: 8.1589 - acc: 0.4859 - ETA: 1s - loss: 8.1257 - acc: 0.4877 - ETA: 1s - loss: 8.1213 - acc: 0.4879 - ETA: 1s - loss: 8.1202 - acc: 0.4879 - ETA: 1s - loss: 8.1305 - acc: 0.4872 - ETA: 1s - loss: 8.1465 - acc: 0.4862 - ETA: 1s - loss: 8.1578 - acc: 0.4855 - ETA: 1s - loss: 8.1675 - acc: 0.4847 - ETA: 1s - loss: 8.1793 - acc: 0.4839 - ETA: 1s - loss: 8.1766 - acc: 0.4839 - ETA: 1s - loss: 8.1675 - acc: 0.4843 - ETA: 0s - loss: 8.1872 - acc: 0.4826 - ETA: 0s - loss: 8.2053 - acc: 0.4812 - ETA: 0s - loss: 8.1843 - acc: 0.4825 - ETA: 0s - loss: 8.1938 - acc: 0.4821 - ETA: 0s - loss: 8.2160 - acc: 0.4809 - ETA: 0s - loss: 8.2265 - acc: 0.4803 - ETA: 0s - loss: 8.2072 - acc: 0.4812 - ETA: 0s - loss: 8.2211 - acc: 0.4805 - ETA: 0s - loss: 8.2273 - acc: 0.4801 - ETA: 0s - loss: 8.2345 - acc: 0.4797 - ETA: 0s - loss: 8.2299 - acc: 0.4799 - ETA: 0s - loss: 8.2262 - acc: 0.4802 - ETA: 0s - loss: 8.2037 - acc: 0.4815 - ETA: 0s - loss: 8.1960 - acc: 0.4817 - ETA: 0s - loss: 8.1716 - acc: 0.4832Epoch 00014: val_loss improved from 8.77454 to 8.68804, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.1831 - acc: 0.4825 - val_loss: 8.6880 - val_acc: 0.3916 Epoch 16/20 6620/6680 [============================>.] - ETA: 5s - loss: 7.2560 - acc: 0.5500 - ETA: 4s - loss: 6.5441 - acc: 0.5750 - ETA: 3s - loss: 6.9629 - acc: 0.5571 - ETA: 3s - loss: 7.2095 - acc: 0.5447 - ETA: 3s - loss: 7.4539 - acc: 0.5313 - ETA: 3s - loss: 7.6153 - acc: 0.5207 - ETA: 3s - loss: 7.6941 - acc: 0.5167 - ETA: 3s - loss: 7.6686 - acc: 0.5189 - ETA: 3s - loss: 7.7861 - acc: 0.5122 - ETA: 3s - loss: 7.7637 - acc: 0.5138 - ETA: 3s - loss: 7.7474 - acc: 0.5143 - ETA: 3s - loss: 7.7603 - acc: 0.5137 - ETA: 4s - loss: 7.7530 - acc: 0.5145 - ETA: 3s - loss: 7.7682 - acc: 0.5136 - ETA: 4s - loss: 7.7702 - acc: 0.5137 - ETA: 3s - loss: 7.7392 - acc: 0.5159 - ETA: 3s - loss: 7.7418 - acc: 0.5157 - ETA: 3s - loss: 7.7893 - acc: 0.5120 - ETA: 3s - loss: 7.8068 - acc: 0.5110 - ETA: 3s - loss: 7.8122 - acc: 0.5100 - ETA: 3s - loss: 7.8108 - acc: 0.5105 - ETA: 3s - loss: 7.8688 - acc: 0.5067 - ETA: 3s - loss: 7.8976 - acc: 0.5048 - ETA: 3s - loss: 7.8724 - acc: 0.5057 - ETA: 3s - loss: 7.8857 - acc: 0.5045 - ETA: 3s - loss: 7.9711 - acc: 0.4986 - ETA: 3s - loss: 8.0022 - acc: 0.4969 - ETA: 3s - loss: 8.0460 - acc: 0.4944 - ETA: 3s - loss: 8.0321 - acc: 0.4954 - ETA: 3s - loss: 8.0463 - acc: 0.4947 - ETA: 3s - loss: 8.0371 - acc: 0.4953 - ETA: 2s - loss: 8.0873 - acc: 0.4922 - ETA: 2s - loss: 8.0470 - acc: 0.4946 - ETA: 2s - loss: 8.0373 - acc: 0.4951 - ETA: 2s - loss: 8.0627 - acc: 0.4929 - ETA: 2s - loss: 8.0389 - acc: 0.4942 - ETA: 2s - loss: 8.0504 - acc: 0.4933 - ETA: 2s - loss: 8.0330 - acc: 0.4938 - ETA: 2s - loss: 7.9979 - acc: 0.4961 - ETA: 2s - loss: 7.9993 - acc: 0.4962 - ETA: 2s - loss: 8.0007 - acc: 0.4963 - ETA: 2s - loss: 8.0281 - acc: 0.4947 - ETA: 2s - loss: 8.0465 - acc: 0.4937 - ETA: 2s - loss: 8.0687 - acc: 0.4923 - ETA: 2s - loss: 8.0771 - acc: 0.4918 - ETA: 2s - loss: 8.0727 - acc: 0.4922 - ETA: 2s - loss: 8.0889 - acc: 0.4913 - ETA: 1s - loss: 8.0562 - acc: 0.4935 - ETA: 1s - loss: 8.0681 - acc: 0.4929 - ETA: 1s - loss: 8.0958 - acc: 0.4909 - ETA: 1s - loss: 8.0910 - acc: 0.4914 - ETA: 1s - loss: 8.1097 - acc: 0.4902 - ETA: 1s - loss: 8.0981 - acc: 0.4911 - ETA: 1s - loss: 8.0915 - acc: 0.4913 - ETA: 1s - loss: 8.1147 - acc: 0.4899 - ETA: 1s - loss: 8.1038 - acc: 0.4907 - ETA: 1s - loss: 8.1260 - acc: 0.4894 - ETA: 1s - loss: 8.1343 - acc: 0.4890 - ETA: 1s - loss: 8.1368 - acc: 0.4888 - ETA: 1s - loss: 8.1681 - acc: 0.4868 - ETA: 0s - loss: 8.1510 - acc: 0.4878 - ETA: 0s - loss: 8.1250 - acc: 0.4893 - ETA: 0s - loss: 8.1232 - acc: 0.4893 - ETA: 0s - loss: 8.1224 - acc: 0.4892 - ETA: 0s - loss: 8.1363 - acc: 0.4882 - ETA: 0s - loss: 8.1153 - acc: 0.4897 - ETA: 0s - loss: 8.1037 - acc: 0.4905 - ETA: 0s - loss: 8.1170 - acc: 0.4895 - ETA: 0s - loss: 8.1032 - acc: 0.4903 - ETA: 0s - loss: 8.1087 - acc: 0.4899 - ETA: 0s - loss: 8.1192 - acc: 0.4892 - ETA: 0s - loss: 8.0965 - acc: 0.4903 - ETA: 0s - loss: 8.1035 - acc: 0.4897 - ETA: 0s - loss: 8.0918 - acc: 0.4903 - ETA: 0s - loss: 8.0836 - acc: 0.4906Epoch 00015: val_loss improved from 8.68804 to 8.65262, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.0692 - acc: 0.4915 - val_loss: 8.6526 - val_acc: 0.4108 Epoch 17/20 6600/6680 [============================>.] - ETA: 10s - loss: 6.4485 - acc: 0.6000 - ETA: 9s - loss: 6.4604 - acc: 0.6000 - ETA: 7s - loss: 7.7212 - acc: 0.5214 - ETA: 6s - loss: 8.0635 - acc: 0.5000 - ETA: 6s - loss: 8.0631 - acc: 0.5000 - ETA: 5s - loss: 8.0234 - acc: 0.5025 - ETA: 4s - loss: 8.2579 - acc: 0.4846 - ETA: 4s - loss: 8.1778 - acc: 0.4900 - ETA: 4s - loss: 8.2403 - acc: 0.4864 - ETA: 4s - loss: 8.0492 - acc: 0.4974 - ETA: 4s - loss: 8.1768 - acc: 0.4889 - ETA: 3s - loss: 8.1645 - acc: 0.4892 - ETA: 3s - loss: 8.1156 - acc: 0.4921 - ETA: 3s - loss: 8.0860 - acc: 0.4942 - ETA: 3s - loss: 7.9999 - acc: 0.5000 - ETA: 3s - loss: 7.9953 - acc: 0.4993 - ETA: 3s - loss: 8.0104 - acc: 0.4987 - ETA: 3s - loss: 7.9580 - acc: 0.5000 - ETA: 3s - loss: 7.9690 - acc: 0.4994 - ETA: 3s - loss: 8.0698 - acc: 0.4927 - ETA: 3s - loss: 8.0370 - acc: 0.4946 - ETA: 3s - loss: 8.0300 - acc: 0.4954 - ETA: 3s - loss: 7.9906 - acc: 0.4980 - ETA: 3s - loss: 8.0319 - acc: 0.4956 - ETA: 3s - loss: 8.0465 - acc: 0.4939 - ETA: 3s - loss: 8.0615 - acc: 0.4934 - ETA: 3s - loss: 8.0708 - acc: 0.4924 - ETA: 2s - loss: 8.1396 - acc: 0.4879 - ETA: 2s - loss: 8.1192 - acc: 0.4893 - ETA: 2s - loss: 8.1348 - acc: 0.4886 - ETA: 2s - loss: 8.0680 - acc: 0.4928 - ETA: 2s - loss: 8.1330 - acc: 0.4888 - ETA: 2s - loss: 8.2068 - acc: 0.4845 - ETA: 2s - loss: 8.2200 - acc: 0.4838 - ETA: 2s - loss: 8.2563 - acc: 0.4817 - ETA: 2s - loss: 8.2552 - acc: 0.4820 - ETA: 2s - loss: 8.2380 - acc: 0.4831 - ETA: 2s - loss: 8.2126 - acc: 0.4849 - ETA: 2s - loss: 8.2061 - acc: 0.4854 - ETA: 2s - loss: 8.2070 - acc: 0.4852 - ETA: 2s - loss: 8.1878 - acc: 0.4864 - ETA: 2s - loss: 8.1793 - acc: 0.4871 - ETA: 1s - loss: 8.1883 - acc: 0.4867 - ETA: 1s - loss: 8.1939 - acc: 0.4865 - ETA: 1s - loss: 8.1916 - acc: 0.4866 - ETA: 1s - loss: 8.1818 - acc: 0.4871 - ETA: 1s - loss: 8.1795 - acc: 0.4874 - ETA: 1s - loss: 8.1476 - acc: 0.4891 - ETA: 1s - loss: 8.1594 - acc: 0.4885 - ETA: 1s - loss: 8.1509 - acc: 0.4891 - ETA: 1s - loss: 8.1418 - acc: 0.4898 - ETA: 1s - loss: 8.1502 - acc: 0.4893 - ETA: 1s - loss: 8.1426 - acc: 0.4895 - ETA: 1s - loss: 8.1282 - acc: 0.4905 - ETA: 1s - loss: 8.1275 - acc: 0.4906 - ETA: 1s - loss: 8.1420 - acc: 0.4893 - ETA: 0s - loss: 8.1435 - acc: 0.4893 - ETA: 0s - loss: 8.1087 - acc: 0.4916 - ETA: 0s - loss: 8.1139 - acc: 0.4912 - ETA: 0s - loss: 8.1074 - acc: 0.4917 - ETA: 0s - loss: 8.0752 - acc: 0.4936 - ETA: 0s - loss: 8.0530 - acc: 0.4950 - ETA: 0s - loss: 8.0430 - acc: 0.4956 - ETA: 0s - loss: 8.0139 - acc: 0.4975 - ETA: 0s - loss: 7.9959 - acc: 0.4987 - ETA: 0s - loss: 8.0052 - acc: 0.4981 - ETA: 0s - loss: 7.9907 - acc: 0.4990 - ETA: 0s - loss: 8.0052 - acc: 0.4981 - ETA: 0s - loss: 8.0256 - acc: 0.4965Epoch 00016: val_loss improved from 8.65262 to 8.64941, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.0339 - acc: 0.4958 - val_loss: 8.6494 - val_acc: 0.4036 Epoch 18/20 6660/6680 [============================>.] - ETA: 10s - loss: 8.0593 - acc: 0.5000 - ETA: 6s - loss: 8.8651 - acc: 0.4500 - ETA: 4s - loss: 8.0641 - acc: 0.4950 - ETA: 4s - loss: 8.2498 - acc: 0.4846 - ETA: 4s - loss: 8.1164 - acc: 0.4917 - ETA: 4s - loss: 8.1971 - acc: 0.4880 - ETA: 3s - loss: 7.9889 - acc: 0.5016 - ETA: 3s - loss: 7.8941 - acc: 0.5066 - ETA: 3s - loss: 7.9901 - acc: 0.5011 - ETA: 3s - loss: 7.9431 - acc: 0.5043 - ETA: 3s - loss: 7.9543 - acc: 0.5038 - ETA: 3s - loss: 7.9747 - acc: 0.5027 - ETA: 3s - loss: 7.9433 - acc: 0.5034 - ETA: 3s - loss: 7.9273 - acc: 0.5047 - ETA: 3s - loss: 7.8859 - acc: 0.5075 - ETA: 3s - loss: 7.8358 - acc: 0.5107 - ETA: 3s - loss: 7.9173 - acc: 0.5059 - ETA: 3s - loss: 7.9479 - acc: 0.5037 - ETA: 3s - loss: 7.9482 - acc: 0.5035 - ETA: 3s - loss: 8.0076 - acc: 0.5000 - ETA: 3s - loss: 8.0026 - acc: 0.5000 - ETA: 3s - loss: 8.0131 - acc: 0.4995 - ETA: 2s - loss: 8.0479 - acc: 0.4971 - ETA: 2s - loss: 8.0705 - acc: 0.4959 - ETA: 2s - loss: 8.0631 - acc: 0.4965 - ETA: 2s - loss: 8.0835 - acc: 0.4953 - ETA: 2s - loss: 8.1224 - acc: 0.4930 - ETA: 2s - loss: 8.1332 - acc: 0.4925 - ETA: 2s - loss: 8.1130 - acc: 0.4935 - ETA: 2s - loss: 8.0696 - acc: 0.4964 - ETA: 2s - loss: 8.0808 - acc: 0.4955 - ETA: 2s - loss: 8.1025 - acc: 0.4939 - ETA: 2s - loss: 8.0802 - acc: 0.4954 - ETA: 2s - loss: 8.0963 - acc: 0.4942 - ETA: 2s - loss: 8.0802 - acc: 0.4953 - ETA: 2s - loss: 8.0653 - acc: 0.4961 - ETA: 2s - loss: 8.0204 - acc: 0.4983 - ETA: 1s - loss: 8.0304 - acc: 0.4977 - ETA: 1s - loss: 8.0268 - acc: 0.4981 - ETA: 1s - loss: 8.0145 - acc: 0.4989 - ETA: 1s - loss: 8.0111 - acc: 0.4992 - ETA: 1s - loss: 8.0199 - acc: 0.4987 - ETA: 1s - loss: 8.0250 - acc: 0.4985 - ETA: 1s - loss: 8.0215 - acc: 0.4988 - ETA: 1s - loss: 7.9988 - acc: 0.5002 - ETA: 1s - loss: 8.0088 - acc: 0.4993 - ETA: 1s - loss: 7.9916 - acc: 0.5002 - ETA: 1s - loss: 7.9611 - acc: 0.5023 - ETA: 1s - loss: 7.9740 - acc: 0.5013 - ETA: 1s - loss: 7.9928 - acc: 0.5002 - ETA: 1s - loss: 8.0185 - acc: 0.4987 - ETA: 1s - loss: 8.0050 - acc: 0.4992 - ETA: 1s - loss: 8.0159 - acc: 0.4986 - ETA: 1s - loss: 8.0157 - acc: 0.4980 - ETA: 1s - loss: 8.0161 - acc: 0.4980 - ETA: 1s - loss: 8.0337 - acc: 0.4969 - ETA: 1s - loss: 8.0344 - acc: 0.4967 - ETA: 0s - loss: 8.0353 - acc: 0.4966 - ETA: 0s - loss: 8.0560 - acc: 0.4954 - ETA: 0s - loss: 8.0623 - acc: 0.4949 - ETA: 0s - loss: 8.0419 - acc: 0.4962 - ETA: 0s - loss: 8.0204 - acc: 0.4973 - ETA: 0s - loss: 8.0267 - acc: 0.4969 - ETA: 0s - loss: 8.0187 - acc: 0.4974 - ETA: 0s - loss: 8.0191 - acc: 0.4974 - ETA: 0s - loss: 8.0326 - acc: 0.4965 - ETA: 0s - loss: 8.0390 - acc: 0.4960 - ETA: 0s - loss: 8.0472 - acc: 0.4956 - ETA: 0s - loss: 8.0502 - acc: 0.4953 - ETA: 0s - loss: 8.0375 - acc: 0.4962 - ETA: 0s - loss: 8.0212 - acc: 0.4972 - ETA: 0s - loss: 8.0072 - acc: 0.4978 - ETA: 0s - loss: 8.0284 - acc: 0.4965 - ETA: 0s - loss: 8.0203 - acc: 0.4967Epoch 00017: val_loss improved from 8.64941 to 8.61558, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 8.0180 - acc: 0.4969 - val_loss: 8.6156 - val_acc: 0.4036 Epoch 19/20 6640/6680 [============================>.] - ETA: 5s - loss: 5.2056 - acc: 0.6500 - ETA: 7s - loss: 8.2447 - acc: 0.4667 - ETA: 4s - loss: 7.8571 - acc: 0.5000 - ETA: 4s - loss: 7.6108 - acc: 0.5192 - ETA: 4s - loss: 7.5953 - acc: 0.5219 - ETA: 4s - loss: 8.0045 - acc: 0.4977 - ETA: 4s - loss: 7.9353 - acc: 0.5019 - ETA: 4s - loss: 7.6977 - acc: 0.5161 - ETA: 4s - loss: 7.6701 - acc: 0.5186 - ETA: 3s - loss: 7.8953 - acc: 0.5036 - ETA: 3s - loss: 7.8490 - acc: 0.5073 - ETA: 3s - loss: 7.8703 - acc: 0.5058 - ETA: 3s - loss: 7.8028 - acc: 0.5105 - ETA: 3s - loss: 7.7852 - acc: 0.5119 - ETA: 3s - loss: 7.7390 - acc: 0.5149 - ETA: 3s - loss: 7.7733 - acc: 0.5127 - ETA: 3s - loss: 7.7423 - acc: 0.5149 - ETA: 3s - loss: 7.7278 - acc: 0.5160 - ETA: 3s - loss: 7.8244 - acc: 0.5100 - ETA: 3s - loss: 7.8133 - acc: 0.5106 - ETA: 3s - loss: 7.8732 - acc: 0.5068 - ETA: 3s - loss: 7.8543 - acc: 0.5082 - ETA: 2s - loss: 7.8734 - acc: 0.5063 - ETA: 2s - loss: 7.9667 - acc: 0.5000 - ETA: 2s - loss: 8.0276 - acc: 0.4958 - ETA: 2s - loss: 8.0413 - acc: 0.4947 - ETA: 2s - loss: 8.0229 - acc: 0.4961 - ETA: 2s - loss: 8.0848 - acc: 0.4925 - ETA: 2s - loss: 8.0606 - acc: 0.4942 - ETA: 2s - loss: 8.0696 - acc: 0.4936 - ETA: 2s - loss: 8.0357 - acc: 0.4958 - ETA: 2s - loss: 8.0514 - acc: 0.4950 - ETA: 2s - loss: 8.0358 - acc: 0.4961 - ETA: 2s - loss: 8.0578 - acc: 0.4946 - ETA: 2s - loss: 8.0135 - acc: 0.4972 - ETA: 2s - loss: 7.9645 - acc: 0.5003 - ETA: 2s - loss: 7.9517 - acc: 0.5012 - ETA: 2s - loss: 7.9190 - acc: 0.5029 - ETA: 1s - loss: 7.8961 - acc: 0.5044 - ETA: 1s - loss: 7.8866 - acc: 0.5046 - ETA: 1s - loss: 7.9010 - acc: 0.5037 - ETA: 1s - loss: 7.9078 - acc: 0.5034 - ETA: 1s - loss: 7.9473 - acc: 0.5008 - ETA: 1s - loss: 7.9557 - acc: 0.5002 - ETA: 1s - loss: 7.9735 - acc: 0.4990 - ETA: 1s - loss: 7.9799 - acc: 0.4988 - ETA: 1s - loss: 8.0013 - acc: 0.4975 - ETA: 1s - loss: 7.9701 - acc: 0.4996 - ETA: 1s - loss: 7.9698 - acc: 0.4996 - ETA: 1s - loss: 7.9767 - acc: 0.4989 - ETA: 1s - loss: 7.9624 - acc: 0.5000 - ETA: 1s - loss: 7.9763 - acc: 0.4992 - ETA: 1s - loss: 7.9684 - acc: 0.4998 - ETA: 1s - loss: 8.0084 - acc: 0.4974 - ETA: 0s - loss: 7.9819 - acc: 0.4990 - ETA: 0s - loss: 7.9948 - acc: 0.4977 - ETA: 0s - loss: 7.9897 - acc: 0.4981 - ETA: 0s - loss: 7.9755 - acc: 0.4991 - ETA: 0s - loss: 7.9680 - acc: 0.4995 - ETA: 0s - loss: 7.9556 - acc: 0.5002 - ETA: 0s - loss: 7.9438 - acc: 0.5007 - ETA: 0s - loss: 7.9399 - acc: 0.5010 - ETA: 0s - loss: 7.9242 - acc: 0.5020 - ETA: 0s - loss: 7.9256 - acc: 0.5020 - ETA: 0s - loss: 7.9118 - acc: 0.5028 - ETA: 0s - loss: 7.9293 - acc: 0.5018 - ETA: 0s - loss: 7.9537 - acc: 0.4998 - ETA: 0s - loss: 7.9670 - acc: 0.4989 - ETA: 0s - loss: 7.9696 - acc: 0.4988 - ETA: 0s - loss: 7.9754 - acc: 0.4985 - ETA: 0s - loss: 7.9643 - acc: 0.4991 - ETA: 0s - loss: 7.9612 - acc: 0.4992Epoch 00018: val_loss improved from 8.61558 to 8.59159, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 7.9637 - acc: 0.4991 - val_loss: 8.5916 - val_acc: 0.4084 Epoch 20/20 6640/6680 [============================>.] - ETA: 5s - loss: 8.8650 - acc: 0.4500 - ETA: 7s - loss: 9.1375 - acc: 0.4333 - ETA: 6s - loss: 7.7741 - acc: 0.5063 - ETA: 5s - loss: 7.8734 - acc: 0.5038 - ETA: 4s - loss: 7.8809 - acc: 0.5056 - ETA: 4s - loss: 8.1653 - acc: 0.4891 - ETA: 4s - loss: 8.1208 - acc: 0.4904 - ETA: 3s - loss: 8.2290 - acc: 0.4838 - ETA: 3s - loss: 7.9909 - acc: 0.4974 - ETA: 3s - loss: 7.8952 - acc: 0.5044 - ETA: 3s - loss: 7.9117 - acc: 0.5019 - ETA: 3s - loss: 7.8874 - acc: 0.5037 - ETA: 3s - loss: 7.9388 - acc: 0.5009 - ETA: 3s - loss: 7.8464 - acc: 0.5065 - ETA: 3s - loss: 7.9091 - acc: 0.5023 - ETA: 3s - loss: 7.8489 - acc: 0.5064 - ETA: 3s - loss: 7.8494 - acc: 0.5067 - ETA: 3s - loss: 7.8142 - acc: 0.5085 - ETA: 3s - loss: 7.8501 - acc: 0.5058 - ETA: 3s - loss: 7.8289 - acc: 0.5076 - ETA: 2s - loss: 7.8622 - acc: 0.5056 - ETA: 2s - loss: 7.8877 - acc: 0.5044 - ETA: 2s - loss: 7.8705 - acc: 0.5050 - ETA: 2s - loss: 7.9147 - acc: 0.5022 - ETA: 2s - loss: 7.9031 - acc: 0.5029 - ETA: 2s - loss: 7.9202 - acc: 0.5020 - ETA: 2s - loss: 7.9118 - acc: 0.5023 - ETA: 2s - loss: 7.8984 - acc: 0.5029 - ETA: 2s - loss: 7.8663 - acc: 0.5045 - ETA: 2s - loss: 7.9154 - acc: 0.5014 - ETA: 2s - loss: 7.9070 - acc: 0.5016 - ETA: 2s - loss: 7.9227 - acc: 0.5006 - ETA: 2s - loss: 7.9261 - acc: 0.5006 - ETA: 2s - loss: 7.9306 - acc: 0.4994 - ETA: 1s - loss: 7.9223 - acc: 0.4994 - ETA: 1s - loss: 7.9102 - acc: 0.5003 - ETA: 1s - loss: 7.8832 - acc: 0.5019 - ETA: 1s - loss: 7.9044 - acc: 0.5008 - ETA: 1s - loss: 7.9118 - acc: 0.4995 - ETA: 1s - loss: 7.9461 - acc: 0.4972 - ETA: 1s - loss: 7.9611 - acc: 0.4958 - ETA: 1s - loss: 7.9584 - acc: 0.4957 - ETA: 1s - loss: 7.9538 - acc: 0.4957 - ETA: 1s - loss: 7.9464 - acc: 0.4958 - ETA: 1s - loss: 7.9581 - acc: 0.4950 - ETA: 1s - loss: 7.9641 - acc: 0.4944 - ETA: 1s - loss: 7.9819 - acc: 0.4932 - ETA: 1s - loss: 7.9856 - acc: 0.4929 - ETA: 1s - loss: 7.9762 - acc: 0.4933 - ETA: 1s - loss: 7.9966 - acc: 0.4918 - ETA: 1s - loss: 7.9888 - acc: 0.4914 - ETA: 0s - loss: 7.9603 - acc: 0.4929 - ETA: 0s - loss: 7.9292 - acc: 0.4944 - ETA: 0s - loss: 7.9160 - acc: 0.4952 - ETA: 0s - loss: 7.9046 - acc: 0.4955 - ETA: 0s - loss: 7.8922 - acc: 0.4959 - ETA: 0s - loss: 7.8762 - acc: 0.4967 - ETA: 0s - loss: 7.8739 - acc: 0.4968 - ETA: 0s - loss: 7.8554 - acc: 0.4975 - ETA: 0s - loss: 7.8482 - acc: 0.4979 - ETA: 0s - loss: 7.8270 - acc: 0.4995 - ETA: 0s - loss: 7.7973 - acc: 0.5007 - ETA: 0s - loss: 7.7847 - acc: 0.5015 - ETA: 0s - loss: 7.8101 - acc: 0.4998 - ETA: 0s - loss: 7.8125 - acc: 0.4998 - ETA: 0s - loss: 7.8131 - acc: 0.5000 - ETA: 0s - loss: 7.8342 - acc: 0.4989 - ETA: 0s - loss: 7.8402 - acc: 0.4986 - ETA: 0s - loss: 7.8234 - acc: 0.4991Epoch 00019: val_loss improved from 8.59159 to 8.49167, saving model to saved_models/weights.best.VGG16.hdf5 6680/6680 [==============================] - 4s - loss: 7.8248 - acc: 0.4991 - val_loss: 8.4917 - val_acc: 0.4108
<keras.callbacks.History at 0x1905dce82e8>
VGG16_model.load_weights('saved_models/weights.best.VGG16.hdf5')
Now, we can use the CNN to test how well it identifies breed within our test dataset of dog images. We print the test accuracy below.
# get index of predicted dog breed for each image in test set
VGG16_predictions = [np.argmax(VGG16_model.predict(np.expand_dims(feature, axis=0))) for feature in test_VGG16]
# report test accuracy
test_accuracy = 100*np.sum(np.array(VGG16_predictions)==np.argmax(test_targets, axis=1))/len(VGG16_predictions)
print('Test accuracy: %.4f%%' % test_accuracy)
Test accuracy: 41.0287%
from extract_bottleneck_features import *
def VGG16_predict_breed(img_path):
# extract bottleneck features
bottleneck_feature = extract_VGG16(path_to_tensor(img_path))
# obtain predicted vector
predicted_vector = VGG16_model.predict(bottleneck_feature)
# return dog breed that is predicted by the model
return dog_names[np.argmax(predicted_vector)]
You will now use transfer learning to create a CNN that can identify dog breed from images. Your CNN must attain at least 60% accuracy on the test set.
In Step 4, we used transfer learning to create a CNN using VGG-16 bottleneck features. In this section, you must use the bottleneck features from a different pre-trained model. To make things easier for you, we have pre-computed the features for all of the networks that are currently available in Keras:
The files are encoded as such:
Dog{network}Data.npz
where {network}, in the above filename, can be one of VGG19, Resnet50, InceptionV3, or Xception. Pick one of the above architectures, download the corresponding bottleneck features, and store the downloaded file in the bottleneck_features/ folder in the repository.
In the code block below, extract the bottleneck features corresponding to the train, test, and validation sets by running the following:
bottleneck_features = np.load('bottleneck_features/Dog{network}Data.npz')
train_{network} = bottleneck_features['train']
valid_{network} = bottleneck_features['valid']
test_{network} = bottleneck_features['test']
### TODO: Obtain bottleneck features from another pre-trained CNN.
from extract_bottleneck_features import *
bottleneck_features = np.load('bottleneck_features/DogXceptionData.npz')
train_model = bottleneck_features['train']
valid_model = bottleneck_features['valid']
test_model = bottleneck_features['test']
Create a CNN to classify dog breed. At the end of your code cell block, summarize the layers of your model by executing the line:
<your model's name>.summary()
Question 5: Outline the steps you took to get to your final CNN architecture and your reasoning at each step. Describe why you think the architecture is suitable for the current problem.
Answer: See code comments. In addition to the architecture decisions, I also lowered the learning rate (from the RMSprop default of 1e-3 to 1e-4) once I saw that the model ceased to learn after 2 or 3 epochs. This improved the overall accuracy by about 5-7%. Since the model was learning slower, I increased the epochs from 20 to 40. However, that only improved it by another 1%.
from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D, GlobalAveragePooling1D
from keras.layers import Dropout, Flatten, Dense, Activation
from keras.models import Sequential
from keras.callbacks import ModelCheckpoint
### TODO: Define your architecture.
# This architecture should be very simple since most of the heavy lifting in training has been done already from the
# chosen model. I experimented with all 4 pre-trained models and the Xception model did the best. It is the one I chose
# for the final implementation.
breed_model = Sequential()
breed_model.add(GlobalAveragePooling2D(input_shape=train_model.shape[1:])) # Need to flatten the final convolutional layer
breed_model.add(Dense(133, activation='relu')) # Add some depth to the model so that it trains better
breed_model.add(Dense(133, activation='softmax')) # Final output layer
breed_model.summary()
_________________________________________________________________ Layer (type) Output Shape Param # ================================================================= global_average_pooling2d_3 ( (None, 2048) 0 _________________________________________________________________ dense_4 (Dense) (None, 133) 272517 _________________________________________________________________ dense_5 (Dense) (None, 133) 17822 ================================================================= Total params: 290,339.0 Trainable params: 290,339.0 Non-trainable params: 0.0 _________________________________________________________________
### TODO: Compile the model.
opt = optimizers.RMSprop(lr=1e-4)
breed_model.compile(loss='categorical_crossentropy', optimizer=opt, metrics=['accuracy'])
Train your model in the code cell below. Use model checkpointing to save the model that attains the best validation loss.
You are welcome to augment the training data, but this is not a requirement.
### TODO: Train the model.
epochs = 40
checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.Xception.hdf5',
verbose=1, save_best_only=True)
hist = breed_model.fit(train_model, train_targets,
validation_data=(valid_model, valid_targets),
epochs=epochs, batch_size=40, callbacks=[checkpointer], verbose=2)
Train on 6680 samples, validate on 835 samples Epoch 1/40 Epoch 00000: val_loss improved from inf to 3.31542, saving model to saved_models/weights.best.Xception.hdf5 6s - loss: 4.1459 - acc: 0.2395 - val_loss: 3.3154 - val_acc: 0.5090 Epoch 2/40 Epoch 00001: val_loss improved from 3.31542 to 1.92726, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 2.5339 - acc: 0.6256 - val_loss: 1.9273 - val_acc: 0.7006 Epoch 3/40 Epoch 00002: val_loss improved from 1.92726 to 1.21993, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 1.4553 - acc: 0.7608 - val_loss: 1.2199 - val_acc: 0.7665 Epoch 4/40 Epoch 00003: val_loss improved from 1.21993 to 0.90114, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.9586 - acc: 0.8102 - val_loss: 0.9011 - val_acc: 0.8096 Epoch 5/40 Epoch 00004: val_loss improved from 0.90114 to 0.74999, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.7270 - acc: 0.8407 - val_loss: 0.7500 - val_acc: 0.8204 Epoch 6/40 Epoch 00005: val_loss improved from 0.74999 to 0.67077, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.6040 - acc: 0.8599 - val_loss: 0.6708 - val_acc: 0.8228 Epoch 7/40 Epoch 00006: val_loss improved from 0.67077 to 0.60745, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.5239 - acc: 0.8719 - val_loss: 0.6075 - val_acc: 0.8395 Epoch 8/40 Epoch 00007: val_loss improved from 0.60745 to 0.57742, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.4691 - acc: 0.8856 - val_loss: 0.5774 - val_acc: 0.8347 Epoch 9/40 Epoch 00008: val_loss improved from 0.57742 to 0.54299, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.4269 - acc: 0.8927 - val_loss: 0.5430 - val_acc: 0.8323 Epoch 10/40 Epoch 00009: val_loss improved from 0.54299 to 0.52903, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.3949 - acc: 0.8949 - val_loss: 0.5290 - val_acc: 0.8359 Epoch 11/40 Epoch 00010: val_loss improved from 0.52903 to 0.51431, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.3656 - acc: 0.9064 - val_loss: 0.5143 - val_acc: 0.8503 Epoch 12/40 Epoch 00011: val_loss improved from 0.51431 to 0.50003, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.3435 - acc: 0.9121 - val_loss: 0.5000 - val_acc: 0.8407 Epoch 13/40 Epoch 00012: val_loss improved from 0.50003 to 0.48936, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.3197 - acc: 0.9174 - val_loss: 0.4894 - val_acc: 0.8455 Epoch 14/40 Epoch 00013: val_loss improved from 0.48936 to 0.48175, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.3019 - acc: 0.9187 - val_loss: 0.4817 - val_acc: 0.8443 Epoch 15/40 Epoch 00014: val_loss improved from 0.48175 to 0.47908, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.2838 - acc: 0.9243 - val_loss: 0.4791 - val_acc: 0.8515 Epoch 16/40 Epoch 00015: val_loss improved from 0.47908 to 0.47015, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.2690 - acc: 0.9275 - val_loss: 0.4702 - val_acc: 0.8419 Epoch 17/40 Epoch 00016: val_loss improved from 0.47015 to 0.46341, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.2544 - acc: 0.9349 - val_loss: 0.4634 - val_acc: 0.8479 Epoch 18/40 Epoch 00017: val_loss improved from 0.46341 to 0.45735, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.2416 - acc: 0.9373 - val_loss: 0.4573 - val_acc: 0.8479 Epoch 19/40 Epoch 00018: val_loss improved from 0.45735 to 0.45596, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.2286 - acc: 0.9415 - val_loss: 0.4560 - val_acc: 0.8479 Epoch 20/40 Epoch 00019: val_loss improved from 0.45596 to 0.44849, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.2174 - acc: 0.9448 - val_loss: 0.4485 - val_acc: 0.8527 Epoch 21/40 Epoch 00020: val_loss improved from 0.44849 to 0.44113, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.2074 - acc: 0.9494 - val_loss: 0.4411 - val_acc: 0.8527 Epoch 22/40 Epoch 00021: val_loss did not improve 5s - loss: 0.1963 - acc: 0.9519 - val_loss: 0.4513 - val_acc: 0.8539 Epoch 23/40 Epoch 00022: val_loss improved from 0.44113 to 0.43917, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.1876 - acc: 0.9551 - val_loss: 0.4392 - val_acc: 0.8563 Epoch 24/40 Epoch 00023: val_loss did not improve 5s - loss: 0.1776 - acc: 0.9579 - val_loss: 0.4468 - val_acc: 0.8527 Epoch 25/40 Epoch 00024: val_loss did not improve 5s - loss: 0.1700 - acc: 0.9614 - val_loss: 0.4408 - val_acc: 0.8587 Epoch 26/40 Epoch 00025: val_loss did not improve 5s - loss: 0.1614 - acc: 0.9650 - val_loss: 0.4493 - val_acc: 0.8587 Epoch 27/40 Epoch 00026: val_loss did not improve 5s - loss: 0.1541 - acc: 0.9644 - val_loss: 0.4399 - val_acc: 0.8515 Epoch 28/40 Epoch 00027: val_loss did not improve 5s - loss: 0.1462 - acc: 0.9674 - val_loss: 0.4423 - val_acc: 0.8599 Epoch 29/40 Epoch 00028: val_loss did not improve 5s - loss: 0.1398 - acc: 0.9705 - val_loss: 0.4478 - val_acc: 0.8527 Epoch 30/40 Epoch 00029: val_loss did not improve 5s - loss: 0.1337 - acc: 0.9723 - val_loss: 0.4422 - val_acc: 0.8599 Epoch 31/40 Epoch 00030: val_loss did not improve 5s - loss: 0.1269 - acc: 0.9744 - val_loss: 0.4409 - val_acc: 0.8599 Epoch 32/40 Epoch 00031: val_loss improved from 0.43917 to 0.43647, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.1220 - acc: 0.9769 - val_loss: 0.4365 - val_acc: 0.8623 Epoch 33/40 Epoch 00032: val_loss did not improve 5s - loss: 0.1154 - acc: 0.9796 - val_loss: 0.4471 - val_acc: 0.8635 Epoch 34/40 Epoch 00033: val_loss did not improve 5s - loss: 0.1108 - acc: 0.9789 - val_loss: 0.4383 - val_acc: 0.8599 Epoch 35/40 Epoch 00034: val_loss improved from 0.43647 to 0.43554, saving model to saved_models/weights.best.Xception.hdf5 5s - loss: 0.1056 - acc: 0.9807 - val_loss: 0.4355 - val_acc: 0.8587 Epoch 36/40 Epoch 00035: val_loss did not improve 5s - loss: 0.1014 - acc: 0.9820 - val_loss: 0.4517 - val_acc: 0.8587 Epoch 37/40 Epoch 00036: val_loss did not improve 5s - loss: 0.0960 - acc: 0.9852 - val_loss: 0.4547 - val_acc: 0.8623 Epoch 38/40 Epoch 00037: val_loss did not improve 5s - loss: 0.0923 - acc: 0.9850 - val_loss: 0.4422 - val_acc: 0.8551 Epoch 39/40 Epoch 00038: val_loss did not improve 5s - loss: 0.0874 - acc: 0.9838 - val_loss: 0.4439 - val_acc: 0.8575 Epoch 40/40 Epoch 00039: val_loss did not improve 5s - loss: 0.0840 - acc: 0.9861 - val_loss: 0.4541 - val_acc: 0.8587
x = np.arange(epochs)
yl = hist.history['val_loss']
ya = hist.history['val_acc']
plt.plot(x,yl, label='Loss')
plt.plot(x,ya, label='Accuracy')
plt.xlabel('Epochs')
#plt.ylabel('Loss/Accuracy')
plt.legend(loc=1)
<matplotlib.legend.Legend at 0x1905f7b7b00>
### TODO: Load the model weights with the best validation loss.
breed_model.load_weights('saved_models/weights.best.Xception.hdf5')
Try out your model on the test dataset of dog images. Ensure that your test accuracy is greater than 60%.
### TODO: Calculate classification accuracy on the test dataset.
# get index of predicted dog breed for each image in test set
breed_predictions = [np.argmax(breed_model.predict(np.expand_dims(feature, axis=0)))\
for feature in test_model]
# report test accuracy
test_accuracy = 100*np.sum(np.array(breed_predictions)==np.argmax(test_targets, axis=1))/len(breed_predictions)
print('Test accuracy: %.4f%%' % test_accuracy)
Test accuracy: 85.4067%
Write a function that takes an image path as input and returns the dog breed (Affenpinscher, Afghan_hound, etc) that is predicted by your model.
Similar to the analogous function in Step 5, your function should have three steps:
dog_names array defined in Step 0 of this notebook to return the corresponding breed.The functions to extract the bottleneck features can be found in extract_bottleneck_features.py, and they have been imported in an earlier code cell. To obtain the bottleneck features corresponding to your chosen CNN architecture, you need to use the function
extract_{network}
where {network}, in the above filename, should be one of VGG19, Resnet50, InceptionV3, or Xception.
### TODO: Write a function that takes a path to an image as input
### and returns the dog breed that is predicted by the model.
def breed_predict_breed(img_path):
# extract bottleneck features
bottleneck_feature = extract_Xception(path_to_tensor(img_path))
# obtain predicted vector
predicted_vector = breed_model.predict(bottleneck_feature)
# return dog breed that is predicted by the model
return dog_names[np.argmax(predicted_vector)]
Write an algorithm that accepts a file path to an image and first determines whether the image contains a human, dog, or neither. Then,
You are welcome to write your own functions for detecting humans and dogs in images, but feel free to use the face_detector and dog_detector functions developed above. You are required to use your CNN from Step 5 to predict dog breed.
Some sample output for our algorithm is provided below, but feel free to design your own user experience!

### TODO: Write your algorithm.
### Feel free to use as many code cells as needed.
# Load libraries needed
from keras.models import Sequential
from keras.preprocessing import image
from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D, GlobalAveragePooling1D
from keras.layers import Dropout, Flatten, Dense, Activation
from extract_bottleneck_features import *
from tqdm import tqdm
import numpy as np
from glob import glob
dog_names = [item[20:-1] for item in sorted(glob("dogImages/train/*/"))]
breed_model = Sequential()
breed_model.add(GlobalAveragePooling2D(input_shape=(7, 7, 2048)))
breed_model.add(Dense(133, activation='relu'))
breed_model.add(Dense(133, activation='softmax'))
breed_model.load_weights('saved_models/weights.best.Xception.hdf5')
def path_to_tensor(img_path):
# loads RGB image as PIL.Image.Image type
img = image.load_img(img_path, target_size=(224, 224))
# convert PIL.Image.Image type to 3D tensor with shape (224, 224, 3)
x = image.img_to_array(img)
# convert 3D tensor to 4D tensor with shape (1, 224, 224, 3) and return 4D tensor
return np.expand_dims(x, axis=0)
def paths_to_tensor(img_paths):
list_of_tensors = [path_to_tensor(img_path) for img_path in tqdm(img_paths)]
return np.vstack(list_of_tensors)
Using TensorFlow backend.
## Face?
import cv2
import matplotlib.pyplot as plt
%matplotlib inline
# extract pre-trained face detector
face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_alt.xml')
def faces_detected(img_path):
# load color (BGR) image
img = cv2.imread(img_path)
# convert BGR image to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# find faces in image
faces = face_cascade.detectMultiScale(gray)
# print number of faces detected in the image
return len(faces)
## Human or Canine?
from keras.applications.resnet50 import ResNet50, preprocess_input, decode_predictions
# define ResNet50 model
ResNet50_model = ResNet50(weights='imagenet')
def ResNet50_predict_labels(img_path):
# returns prediction vector for image located at img_path
img = preprocess_input(path_to_tensor(img_path))
return np.argmax(ResNet50_model.predict(img))
### returns "True" if a dog is detected in the image stored at img_path
def dog_detector(img_path):
prediction = ResNet50_predict_labels(img_path)
return ((prediction <= 268) & (prediction >= 151))
## What Breed?
from operator import itemgetter, attrgetter
def predict_breed(img_path):
# extract bottleneck features
bottleneck_feature = extract_Xception(path_to_tensor(img_path))
# obtain predicted vector
predicted_vector = breed_model.predict(bottleneck_feature)
# return dog breeds predicted by the model sorted by most probable
breed_dict = {}
for breed_idx, breed_proba in enumerate(predicted_vector[0]):
breed_dict[breed_idx] = breed_proba
breed_sort = sorted(breed_dict.items(), key=itemgetter(1),reverse=True)
return breed_sort
def get_breed(breed_idx):
return dog_names[breed_idx].replace('_',' ').title()
def analyze_img(img_path):
face_detected = False
dog_detected = False
try:
if faces_detected(img_path) > 0:
print('I see you, a human!')
face_detected = True
else:
print('I cannot find any human faces in this photo.')
except:
print('Problem with the OpenCL library call!')
if dog_detector(img_path):
print('Woof, Woof!')
dog_detected = True
elif not face_detected:
print('I could not find a dog or a human in this image.')
img = cv2.imread(img_path)
cv_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# display the image, along with bounding box
plt.imshow(cv_rgb)
plt.tick_params(axis='both', which='both', bottom='off', top='off',\
labelbottom='off', right='off', left='off', labelleft='off')
plt.margins(0)
plt.show()
if (dog_detected) | (face_detected):
if not dog_detected:
print("If you were a dog, then I'd say you looked like these dog breeds...")
breeds = predict_breed(img_path)
if breeds[0][1] > 0.99:
print("I'm very confident that you're a {0} ({1: 0.1f}% )".format(get_breed(breeds[0][0]), breeds[0][1]*100))
print(" ... a distant second would be a {0} ({1: 0.1f}% )".format(get_breed(breeds[1][0]), breeds[1][1]*100))
elif breeds[0][1] > 0.95:
print("I'm confident that you're a {0} ({1: 0.1f}% )".format(get_breed(breeds[0][0]), breeds[0][1]*100))
print(" ... a distant second would be a {0} ({1: 0.1f}% )".format(get_breed(breeds[1][0]), breeds[1][1]*100))
elif breeds[0][1] > 0.90:
print("I'm pretty confident that you're a {0} ({1: 0.1f}% )".format(get_breed(breeds[0][0]), breeds[0][1]*100))
print(" ... a distant second would be a {0} ({1: 0.1f}% )".format(get_breed(breeds[1][0]), breeds[1][1]*100))
elif breeds[0][1] > 0.80:
print("I'm sure that you're a {0} ({1: 0.1f})".format(get_breed(breeds[0][0]), breeds[0][1]*100))
print(" ... a second guess would be a {0} ({1: 0.1f}% )".format(get_breed(breeds[1][0]), breeds[1][1]*100))
elif breeds[0][1] > 0.75:
print("I'm pretty sure that you're a {0} ({1: 0.1f}% )".format(get_breed(breeds[0][0]), breeds[0][1]*100))
print(" ... a second guess would be a {0} ({1: 0.1f}% )".format(get_breed(breeds[1][0]), breeds[1][1]*100))
elif breeds[0][1] > 0.70:
print("You're probably a {0} ({1: 0.1f})".format(get_breed(breeds[0][0]), breeds[0][1]*100))
print(" ... a second guess would be a {0} ({1: 0.1f}% )".format(get_breed(breeds[1][0]), breeds[1][1]*100))
elif breeds[0][1] > 0.60:
print("I'm not sure, but you might be a {0} ({1: 0.1f}% )".format(get_breed(breeds[0][0]), breeds[0][1]*100))
print(" ... a second guess would be a {0} ({1: 0.1f}% )".format(get_breed(breeds[1][0]), breeds[1][1]*100))
else:
print("I don't know, but you might be a {0} ({1: 0.1f}% )".format(get_breed(breeds[0][0]), breeds[0][1]*100))
print(" ... a second guess would be a {0} ({1: 0.1f}% )".format(get_breed(breeds[1][0]), breeds[1][1]*100))
print("\nNext 3 Guesses:")
for i in range(2,5):
print(" {0} {1: 0.1f}%".format(get_breed(breeds[i][0]), breeds[i][1]*100))
print('*' * 50)
In this section, you will take your new algorithm for a spin! What kind of dog does the algorithm think that you look like? If you have a dog, does it predict your dog's breed accurately? If you have a cat, does it mistakenly think that your cat is a dog?
Test your algorithm at least six images on your computer. Feel free to use any images you like. Use at least two human and two dog images.
Question 6: Is the output better than you expected :) ? Or worse :( ? Provide at least three possible points of improvement for your algorithm.
Answer: It did not detect my dog's breed (Abby) since she is a Malti-zu (a cross between a Maltese and a Shih-Tzu). Some pretrained models did guess Maltese, which she obviously favors. Xception, however, thinks she is a Havanese in one of her pictures. The CV face detector thought my dog was a human. The cat pictures did not fool it, amazingly! To improve the algorithm, I would:
- Use data augmentation with the Keras ImageDataGenerator for the Dog Breed detector
- Use my own face and/or human detector network. The CV human face detector missed two of my test images of ladies plus thought that my dog was human.
- Improve the training data by eliminating photos with humans in them, or create an algorithm that would extract the dog and submit only the dog into the network. I have no idea how to do that yet.
- Include more dog breeds in the training data (obviously)
analyze_img('images/Abby.jpg')
analyze_img('images/Abby2.jpg')
analyze_img('images/shih-tzu.jpg')
analyze_img('images/1-year-old-shih-tzu-dog-1-325x233.dm.edit_DU3NEN.jpg')
analyze_img('images/5-shih-tzu-personality-traits0.jpg')
analyze_img('images/Shih-Tzu-3.jpg')
analyze_img('images/Gary.jpg')
analyze_img('images/Gary_good.jpg')
analyze_img('images/00000263.jpg')
analyze_img('images/00000396.jpg')
analyze_img('images/00000798.jpg')
analyze_img('images/00000809.jpg')
analyze_img('images/bulldog.jpg')
analyze_img('images/original.jpg')
analyze_img('images/kneecap-dislocation-dogs.jpg')
analyze_img('images/01_AKC_Maltese_Dog_Show_2013.jpg')
analyze_img('images/cat1.jpg')
analyze_img('images/cat2.jpg')
analyze_img('images/cat3.jpg')
I see you, a human! Woof, Woof!
I don't know, but you might be a Havanese ( 52.8% )
... a second guess would be a Maltese ( 42.9% )
Next 3 Guesses:
Lowchen 3.5%
Lhasa Apso 0.2%
Bichon Frise 0.2%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
I'm sure that you're a Maltese ( 80.6)
... a second guess would be a Havanese ( 11.6% )
Next 3 Guesses:
Bichon Frise 5.0%
Chinese Crested 1.9%
Lowchen 0.4%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
You're probably a Lhasa Apso ( 72.3)
... a second guess would be a Pekingese ( 16.5% )
Next 3 Guesses:
Japanese Chin 5.5%
English Toy Spaniel 3.2%
Brussels Griffon 1.3%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
I'm not sure, but you might be a Pekingese ( 62.2% )
... a second guess would be a Lhasa Apso ( 19.4% )
Next 3 Guesses:
English Toy Spaniel 15.1%
Japanese Chin 2.7%
Brussels Griffon 0.2%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
I don't know, but you might be a Lhasa Apso ( 46.6% )
... a second guess would be a Havanese ( 28.8% )
Next 3 Guesses:
Maltese 14.7%
Bichon Frise 4.6%
Lowchen 3.5%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
You're probably a Lhasa Apso ( 74.7)
... a second guess would be a Japanese Chin ( 9.6% )
Next 3 Guesses:
Pekingese 6.8%
Lowchen 4.3%
English Toy Spaniel 3.4%
**************************************************
I see you, a human!
If you were a dog, then I'd say you looked like these dog breeds...
I don't know, but you might be a Dachshund ( 7.8% )
... a second guess would be a Chesapeake Bay Retriever ( 5.7% )
Next 3 Guesses:
Petit Basset Griffon Vendeen 5.2%
American Foxhound 3.3%
Cardigan Welsh Corgi 3.3%
**************************************************
I see you, a human!
If you were a dog, then I'd say you looked like these dog breeds...
I don't know, but you might be a Canaan Dog ( 6.4% )
... a second guess would be a Boston Terrier ( 5.3% )
Next 3 Guesses:
Chinese Crested 4.8%
Petit Basset Griffon Vendeen 3.9%
American Foxhound 3.3%
**************************************************
I see you, a human!
If you were a dog, then I'd say you looked like these dog breeds...
I don't know, but you might be a Dachshund ( 14.5% )
... a second guess would be a Afghan Hound ( 7.7% )
Next 3 Guesses:
Flat-Coated Retriever 5.5%
Chesapeake Bay Retriever 2.6%
Newfoundland 2.4%
**************************************************
I cannot find any human faces in this photo.
I could not find a dog or a human in this image.
************************************************** I cannot find any human faces in this photo. I could not find a dog or a human in this image.
************************************************** I see you, a human!
If you were a dog, then I'd say you looked like these dog breeds...
I don't know, but you might be a Norwich Terrier ( 7.3% )
... a second guess would be a Chinese Crested ( 6.1% )
Next 3 Guesses:
Petit Basset Griffon Vendeen 5.1%
Xoloitzcuintli 3.3%
Great Dane 3.2%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
I'm very confident that you're a Bulldog ( 99.8% )
... a distant second would be a Chinese Shar-Pei ( 0.1% )
Next 3 Guesses:
American Staffordshire Terrier 0.0%
Cane Corso 0.0%
Saint Bernard 0.0%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
I'm very confident that you're a Chihuahua ( 100.0% )
... a distant second would be a Norwegian Lundehund ( 0.0% )
Next 3 Guesses:
Norwegian Buhund 0.0%
Chinese Crested 0.0%
Basenji 0.0%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
I'm very confident that you're a Pomeranian ( 99.8% )
... a distant second would be a Keeshond ( 0.1% )
Next 3 Guesses:
Finnish Spitz 0.0%
Chow Chow 0.0%
American Eskimo Dog 0.0%
**************************************************
I cannot find any human faces in this photo.
Woof, Woof!
I'm confident that you're a Maltese ( 98.9% )
... a distant second would be a Havanese ( 0.9% )
Next 3 Guesses:
Lowchen 0.1%
Lhasa Apso 0.0%
Bichon Frise 0.0%
**************************************************
I cannot find any human faces in this photo.
I could not find a dog or a human in this image.
************************************************** I cannot find any human faces in this photo. I could not find a dog or a human in this image.
************************************************** I cannot find any human faces in this photo. I could not find a dog or a human in this image.
**************************************************






